Get Inspired: 22 Women Leaders in AI and Machine Learning

Top Women in AI and Machine Learning

As artificial intelligence continues to reshape our world, women are making significant strides in this male-dominated field. Despite the fact that women make up only 26% of data and AI positions in the workforce, these 22 trailblazing female leaders are breaking barriers and driving innovation in AI and machine learning. From pioneering research to founding groundbreaking startups, these women are not just participating in the AI revolution – they're leading it.

Top Stats and Facts:

  • Women hold only 22% of all AI and computer science PhD programs in North America.
  • Only 12% of leading machine learning researchers are women.
  • Companies with diverse teams are 25% more likely to achieve above-average profitability.
  • Female-founded AI startups receive only 2% of venture capital funding

By showcasing these remarkable women, we aim to inspire the next generation of female AI innovators and highlight the crucial importance of diversity in shaping the future of artificial intelligence. Let's explore into the stories of these AI queens who are transforming the tech landscape and paving the way for a more inclusive and innovative future.


Geek Goddesses: The Rise of Women in AI and Machine Learning

The Evolution of Women in Tech

From the days of punch cards to the era of quantum computing, women have been leaving their mark on the tech world like digital graffiti artists. Remember Ada Lovelace, the OG coder queen? She was dropping algorithms before it was cool, way back in the 19th century. Fast forward to the 1940s, and we've got the ENIAC Six, a group of women who programmed the first electronic general-purpose computer. Talk about girl power in the pre-Spice Girls era!

As we zoom through the decades, we see women making waves in various STEM fields. The 1960s and 70s brought us space-age sheroes like Margaret Hamilton, whose software helped Apollo 11 land on the moon. Houston, we have a woman in charge! The personal computer revolution of the 80s and 90s saw more women entering tech, though often facing an uphill battle in a sea of suits and ties. But these digital divas didn't just lean in; they coded their way to the top!

Now, as we cruise into the AI age, women are not just participating; they're leading the charge. From machine learning mavens to data science dynamos, women are at the forefront of AI innovation. They're not just breaking the glass ceiling; they're shattering it with neural networks!


22 Queens Leading the AI Future in 2024

NamePositionCompany
Mira MuratiCTOOpenAI
Hind AzegrouzLead for AI InferenceIntel
Alicia KavelaarsCo-founder and CTOOffWorld
Leily MohammadiLead of Predictive AnalyticsShell Canada
Faranak SobhaniResearch ScientistInify Laboratories
Rebecca GormanCEOAligned AI
Fion Lee-MadanCo-Founder and COOFairly AI
Beate HoferGroup CIOVolkswagen AG
Anna R. GresselAssociateDebevoise & Plimpton
Rosona EldredMachine Learning EngineerBASF
Jasmien CésarSenior CounselMastercard
Gloria ZhangInvestment ManagerDCM Ventures
Jyoti MishraSenior Data Scientist (NLP)Peakon
Dr. Carmen MartinezConversational UX ExperienceFlixbus
Beatriz Lopez MenciaManager of User ExperienceVodafone
Henrike MuellerTechnical SpecialistFinancial Conduct Authority
Cortnie AbercrombieCEO and FounderAI Truth
Stefania-Catalina BaincescuTechnical LeadE.ON Software Development
Tessa DarbyshireResponsible AI & Data Science Strategy ManagerElsevier
Supreet KaurAssistant Vice PresidentMorgan Stanley
Deena GergisLead Data ScientistBayer
Carolyn PhillipsSenior Staff Machine Learning ScientistWayfair

1. Mira Murati

Mira Murati

The queen bee of AI, Mira Murati. This Albanian-born powerhouse is the brains behind some of the most mind-blowing AI creations we've seen in recent years. As the Chief Technology Officer at OpenAI, Mira's been busy cooking up a storm in the digital kitchen, serving us hot dishes like ChatGPT, DALL-E, and GPT-4. Talk about a tech-tastic menu!

Born in 1988 in Vlorë, Albania, Mira's journey to the top of the tech world is nothing short of inspirational.

She's proof that you can go from solving math problems in Eastern Europe to solving the world's AI problems in Silicon Valley. How's that for a calculated career move?

Mira's not just about crunching numbers and writing code. She's a vocal advocate for responsible AI development. In her own words, “You have to constantly audit.” It's like she's the AI police, making sure our digital friends behave themselves. Now that's what I call artificial intelligence with a conscience!

Let's break down Mira's impressive journey:

AchievementDetails
EducationBachelor of Engineering in Mechanical Engineering from Dartmouth College
Early CareerInternship at Goldman Sachs, roles at Zodiac Aerospace and Tesla
OpenAI JourneyJoined in 2018, became CTO in 2022
Key ProjectsChatGPT, DALL-E, Codex, GPT-4
RecognitionNamed in TIME100 Next list for 2023
Current RoleLeads research, product, and safety teams at OpenAI

2. Hind Azegrouz

Hind Azegrouz

Meet Hind Azegrouz, Intel's lead for AI inference and a true silicon siren. This tech titan is not just crunching numbers; she's reshaping the future of AI one algorithm at a time! Hind's journey in the world of artificial intelligence is nothing short of electrifying. With a PhD that's more loaded than a high-performance CPU, she's been computing her way to the top since day one. At Intel, she's leading the charge in AI inference, making sure our machines are not just smart, but lightning-fast too. Talk about giving AI a turbo boost!

But wait, there's more! Hind isn't just a tech whiz; she's also passing on her knowledge as an assistant professor at IE Business School. From computer vision to mathematics, she's coding the future into the minds of tomorrow's tech leaders. Now that's what I call a neural network of knowledge!

Here's a quick peek at Hind's byte-sized biography

AchievementDetails
Current RoleEMEA Lead for Edge Inference at Intel
EducationPhD in Computer Vision from Edinburgh Joint Research Institute
Previous RolesData and AI architect at Repsol, Advanced analytics manager at Avanade
Academic ExperienceResearch fellow at MIT, Research scientist at Spanish National Center for Cardiovascular Research
TeachingAssistant professor at IE Business School (Computer Vision, Mathematics & Statistics)
Engineering BackgroundElectronics engineer from ENSEIB (Bordeaux, France)

3. Alicia Kavelaars

Alicia Kavelaars

Alicia Kavelaars, the cosmic queen of robotics and OffWorld's co-founder and chief technology officer. This stellar woman is truly out of this world (pun absolutely intended)! With a mind as vast as the universe itself, Alicia is changing the AI and robotics industry faster than you can say “Houston, we have a problem!” Her mission? To create an AI-powered robotic workforce that can tackle the most extreme environments on Earth and beyond. Talk about reaching for the stars!

Alicia's journey from theoretical physics to space-age innovation is nothing short of a sci-fi blockbuster. She's not just breaking the glass ceiling; she's shattering it with a fleet of smart robots! Her work at OffWorld is paving the way for a future where humans and robots work hand in… well, claw, to explore and inhabit the solar system.

AchievementDetails
EducationPh.D. & M.Sc. in Aeronautics and Astronautics from Stanford University
B.Sc. in Theoretical Physics from Universidad Autonoma de Madrid
ExperienceOver 15 years in aerospace industry
Developed systems for NASA, NOAA, and Telecommunications industry
Current RoleCo-founder and CTO at OffWorld (since 2016)
ExpertiseAI-based rugged robots for extreme environments
Swarm robotic space operations
Attitude control systems
Orbital dynamics
LanguagesFluent in Spanish and English
Personal Goal“For mankind to know more, use more and be more in space”

4. Leily Mohammadi

Leily Mohammadi

Leily Mohammadi, the queen of predictive analytics who's making waves at Shell Canada. With over a decade of experience under her belt, Leily is the mastermind behind unlocking millions of dollars in value through her data wizardry.

Leily's not just crunching numbers; she's leading a diverse team of five data scientists and engineers, turning raw data into gold faster than you can say “machine learning”! Her secret sauce? A unique blend of technical expertise and leadership skills that's as smooth as the oil she helps process.

From process control to advanced analytics, Leily's career has been a rollercoaster ride of innovation. She's the brains behind forecasting models that are so accurate, they make weather forecasters jealous! Her work on condition-based maintenance has saved Shell more money than you can shake a drill bit at.

Here's a quick look at Leily's impressive credentials

AchievementDetails
EducationPhD in Chemical Engineering, Process Control (University of Alberta)
ExperienceOver 10 years at Shell, including roles in Process Control and Data Science
Key ProjectsScaled up Control Valves and Rotating Equipment C3.AI anomaly detection program
Notable ModelsFired Heater Fouling forecast, Electrical Motor Winding Temperature forecast, Heat exchanger fouling forecast
SkillsAgile methodologies, MLOps, Version control, Code review practices
LanguagesEnglish, French, Turkish, Persian, Azerbaijani

5. Faranak Sobhani

Faranak Sobhani

Faranak is like the Sherlock Holmes of the digital pathology world, using her super-sleuthing AI skills to crack the case of cancer diagnosis. With a Ph.D. from Queen Mary University of London tucked under her lab coat, she's been on a mission to revolutionize how we detect and understand cancer.

At Inify Laboratories, Faranak is cooking up some seriously smart algorithms that are helping to diagnose cancer faster and more accurately than ever before.

It's like she's teaching computers to be expert oncologists – talk about a class act! But Faranak isn't just about crunching numbers and writing code.

She's a true AI ambassador, spreading the good word about how artificial intelligence can make healthcare better for everyone. She's proof that when it comes to fighting cancer, brains and bytes make a powerful combo!

Here's a quick rundown of Faranak's impressive career

AchievementDetails
EducationPh.D. in Electrical and Electronics Engineering, Queen Mary University of London
Current RoleResearch Scientist at Inify Laboratories
Previous ExperiencePostdoctoral Research Fellow at The Institute of Cancer Research
SpecializationAI in digital pathology, machine learning for cancer diagnosis
Notable WorkDeveloped novel tools to diagnose cancer patients and predict treatment responses
CertificationsMultiple certifications from DeepLearning.AI, Google, and Stanford University

6. Rebecca Gorman

Rebecca Gorman

Rebecca Gorman, the tech virtuoso and CEO of Aligned AI. With a knack for aligning artificial intelligence with human values, Rebecca is a true maestro in the AI orchestra. She’s not just playing the tech game; she’s rewriting the rules! Her journey from Silicon Valley to the helm of Aligned AI is the stuff of legends, filled with innovation, advocacy, and a sprinkle of entrepreneurial magic.

Rebecca's career is a testament to her passion for responsible AI. She built her first AI system 20 years ago—talk about an early start!

Since then, she’s been on a mission to ensure that AI systems are safe and ethical, co-developing advanced methods like ACE, EquitAI, and ClassifAI. Her work has been recognized globally, earning her a spot in REWork’s Top 100 Women Advancing AI in 2023.

But wait, there's more! Rebecca has also been a guiding light for policymakers, advising the EU, UN, OECD, and UK Parliament on AI regulation. Her entrepreneurial spirit shines through in her leadership at Aligned AI, where she’s spearheading efforts to create AI that truly understands and aligns with human intentions. It’s no wonder she’s been nominated for VentureBeat's Women in AI Award for Responsibility and Ethics in AI.

Here’s a quick look at Rebecca's achievements, education, and experience

AspectDetails
PositionCEO and Co-founder of Aligned AI
EducationStudied business, marketing, sales, and philosophy
Experience20 years in AI development, co-developed AI alignment methods
AchievementsNamed in REWork’s Top 100 Women Advancing AI (2023), nominated for VentureBeat's Women in AI Award
Advisory RolesAdvised EU, UN, OECD, UK Parliament on AI regulation
Fun FactBuilt her first AI at age 8

7. Fion Lee-Madan

Fion Lee-Madan

Fion Lee-Madan, the dynamic Co-Founder and COO of Fairly AI, where she’s not just breaking glass ceilings but shattering them with AI governance! With over two decades of tech experience, Fion is a force to be reckoned with in the AI industry. Her journey is a testament to the power of combining technical prowess with a passion for ethical AI. As one of the best executives in Canada, she’s been recognized by the Globe and Mail for her leadership skills and innovative spirit.

Fion’s educational journey is as impressive as her career. She holds a degree in Computer Science and Human Biology from the University of Toronto and an MBA from Boston University.

Talk about a double major with a side of business savvy! Her experience spans across Fortune 500 companies, where she’s led product-market-fit and customer success projects. Fion’s expertise isn’t just limited to AI; she’s also a seasoned pro in eCommerce systems integration and multi-channel campaign management.

Here's a quick look at Fion's achievements and experience

CategoryDetails
EducationHonors Bachelor of Science in Computer Science & Human Biology, University of Toronto; MBA, Boston University; Machine Learning in Business, MIT Sloan Executive Education
Current RoleCo-Founder and COO of Fairly AI
Previous ExperienceTechnical Committee Member at CIO Strategy Council, Techstars Founder, Managing AI Risk Leadership Project at Vector Institute, Guest Lecturer at Lighthouse Labs
Industry RecognitionNamed one of the best executives in Canada by the Globe and Mail
Notable AchievementsCo-founded Fairly AI, a leader in AI Governance, Risk, and Control solutions

8. Beate Hofer

Beate Hofer

Beate Hofer, the Group CIO at Volkswagen AG. Beate is not just any tech leader; she's a trailblazer with a 20-year career at Volkswagen, making her a true automotive tech veteran. “Shifting gears” in the tech world, Beate has held numerous leadership roles, including being a board member of CYMOTIVE Technologies, a company that provides cybersecurity solutions for the automotive industry

She's also a key player in DCSO Deutsche Cyber-Sicherheitsorganisation, a cybersecurity competence center for leading companies in the German economy.

Beate's journey is a testament to her commitment to innovation and digital transformation. She's been instrumental in Volkswagen's 5G initiatives, aiming to create smarter, connected factories. Her vision for the future is clear: “Efficient wireless communication in real-time will be crucial for flexible production in the future.”

Here's a quick snapshot of Beate's achievements and background

CategoryInformation
PositionGroup CIO at Volkswagen AG
Experience20 years at Volkswagen
Key SkillsAI, Business Intelligence, IT Strategy, Automotive
AwardsFeatured in Top 100 Executive Women in Tech to Watch
Board MembershipsCYMOTIVE Technologies, DCSO Deutsche Cyber-Sicherheitsorganisation
Notable ProjectsVolkswagen's 5G initiatives for smarter, connected factories

9. Anna R. Gressel

Anna R. Gressel

Anna isn't just any associate at Debevoise & Plimpton; she's the go-to gal for all things AI and emerging tech. With a brain that's as sharp as a tack and a wit to match, Anna's been turning heads in the legal world faster than you can say “objection overruled!”

This Harvard Law School grad (talk about a smart cookie!) isn't just sitting behind a desk pushing papers. Oh no, she's out there in the trenches, advising big shots on how to navigate the wild west of AI regulations. From the EU AI Act to the Digital Services Act, Anna's got it covered like a well-drafted contract.

But wait, there's more! Anna's not just a legal whiz; she's a thought leader who's always one step ahead of the game. She's the brains behind the Women in AI Law and Governance Network, because who says you can't fight bias with a little girl power?

CategoryDetails
EducationJ.D. from Harvard Law School, B.A. from Pomona College
AchievementsNamed one of the Top 100 Women Leading AI in 2023 by Re-Work
ExperienceLitigation Counsel at Paul, Weiss with expertise in AI-related legal matters
SpecializationsAI regulation, data governance, blockchain, fintech
LeadershipCo-founder of Women in AI Law and Governance Network
RecognitionCommissioner on the American Bar Association's Commission on Women in the Profession

10. Rosona Eldred

Rosona Eldred

Dr. Rosona Eldred, the machine learning engineer who's cooking up some seriously smart solutions at BASF. This data dynamo isn't just crunching numbers; she's whipping up AI recipes that are changing the game in the chemical industry. Talk about a perfect chemical reaction between brains and bytes!

Rosona's journey is like a well-optimized algorithm – constantly improving and adapting. With a Ph.D.

from the University of Illinois at Urbana-Champaign, she's gone from pure mathematics to applied AI, proving that she can solve equations and real-world problems with equal finesse. It's like she's got a black belt in data science!

Let's break down Rosona's impressive stats in a table that's as neat as her code

CategoryDetails
NameDr. Rosona Eldred
PositionMachine Learning Engineer
CompanyBASF
EducationPh.D., University of Illinois at Urbana-Champaign
Key AchievementRecognized as a leading woman in AI
SpecialtyAI for sustainability goals
LanguagesGerman (Fluent), English (Native), French (Intermediate), Swedish (Basic)
Previous RolesData Scientist at Infineon Technologies, Data Analyst at GRENKE digital GmbH

11. Jasmien César

Jasmien César

Jasmien isn't just any Senior Counsel at Mastercard; she's the guardian of our digital future, specializing in the dynamic duo of artificial intelligence and data protection. Talk about having your cake and eating it too! With her expertise, Mastercard is navigating the tricky waters of AI innovation while keeping our personal data locked up tighter than Fort Knox.

But don't let her serious job title fool you – Jasmien's approach to AI governance is anything but boring. She's like the Mary Poppins of the tech world, making the complex world of AI regulation a spoonful of sugar that helps the medicine go down.

Her work ensures that Mastercard's AI initiatives are not just cutting-edge, but also ethically sound and privacy-compliant. Now that's what I call a royal flush in the high-stakes game of tech innovation!

Let's break down Jasmien's impressive credentials

AchievementDetails
Current RoleSenior Managing Counsel, Privacy and Data Protection, Artificial Intelligence at Mastercard
ExpertiseAI governance, data protection, privacy law
EducationAIGP (Artificial Intelligence Governance Professional) certification
CIPT (Certified Information Privacy Technologist)
ExperienceSpeaker at IAPP Europe Data Protection Congress 2024
Contributor to AI policy development in the financial sector
ImpactShaping Mastercard's approach to responsible AI use
Bridging the gap between technology innovation and regulatory compliance

12. Gloria Zhang

Gloria Zhang

Gloria Zhang, the whiz kid of DCM Ventures who's got an eye for the next big thing in AI. As an Investment Manager, Gloria isn't just crunching numbers – she's on a mission to transform early-stage technologies into successful business models that'll make your head spin!

Gloria's not your average investor. She's like a tech-savvy Sherlock Holmes, always on the lookout for those seemingly unconnected dots that, when linked, create the next groundbreaking AI innovation.

Talk about having a sixth sense for success! Gloria's not your average investor. She's like a tech-savvy Sherlock Holmes, always on the lookout for those seemingly unconnected dots that, when linked, create the next groundbreaking AI innovation. Talk about having a sixth sense for success!

Here's a quick rundown of Gloria's impressive background:

AchievementDetails
EducationMBA from Wharton School of Business, University of Pennsylvania
Master of Public Policy from New York University
Bachelor of Science and Bachelor of Economics from Peking University
ExperienceFormer Product Manager and Machine Learning Engineer at IBM
Go-to-market advisor for Taichi Graphics
CPO for Gradient (AI-driven dermatological diagnostic app)
ExpertiseCloud & Data infrastructure
AI for enterprises and consumers
DevOps

13. Jyoti Mishra

Jyoti Mishra

Jyoti Mishra, the senior data scientist at Peakon, a Workday company, who's turning words into wisdom faster than you can say “machine learning”! With over a decade of experience in the tech industry, Jyoti is like the Swiss Army knife of NLP. She's tackled everything from semantic search to conversational AI, and she's not afraid to get her hands dirty with knowledge graphs and ontology development. Talk about a linguistic superhero!

But Jyoti isn't just about crunching numbers and parsing sentences. She's a true T-shaped professional, wearing more hats than a milliner's shop.

From user research to product management, she's been there, done that, and probably wrote an algorithm about it.

Let's take a peek at Jyoti's impressive resume

AchievementDetails
EducationMaster's Degree in Data Science, Indian Institute of Technology, Hyderabad
Current RoleSenior Data Scientist (NLP) at Workday Peakon Employee Voice
Experience10+ years in Machine Learning and NLP
ExpertiseSemantic search, conversational AI, knowledge graphs, ontology development, recommendation engines
SkillsUser Research, Product Management, Data Governance, MLOps, Data Engineering
RecognitionNamed in Top 100 Women Advancing AI
Previous RolesML/NLP Engineer at Wluper, PocketConfidant AI; Data Scientist at ParallelDots

14. Dr. Carmen Martinez

Dr. Carmen Martinez

Dr. Martinez isn't just your average tech whiz; she's a linguistic luminary with a Ph.D. in Applied Linguistics, specializing in Conversation Analysis and Ethnography of Communication. Talk about having the gift of gab! She's taken her knack for nattering and turned it into a superpower, helping computers chat like humans. It's like she's teaching robots to small talk – next thing you know, they'll be gossiping at the water cooler!

At Flixbus, Carmen is the maestro of machine dialogue, orchestrating conversations between humans and AI that are smoother than a luxury bus ride.

She's not just designing interfaces; she's crafting digital discussions that make you forget you're talking to a bot. It's like she's the Dr.

Dolittle of the digital world, but instead of talking to animals, she's making machines speak human!

Let's take a peek at Carmen's impressive journey

AchievementDetails
EducationPh.D. in Applied Linguistics (Conversation Analysis & Ethnography of Communication)
Current RoleSenior Conversational UX Designer at Flixbus
Previous ExperienceConversational UX Expert at Deutsche Telekom, Product Designer at Finnish National Agency for Education
PublicationsAuthor of “Conversar en español: Un enfoque desde el Análisis de la Conversación”
TeachingExternal Lecturer in Conversational AI UX Design at CODE University of Applied Sciences
Industry ImpactRegular speaker at tech conferences, sharing insights on Conversational UX

15. Beatriz Lopez Mencia

Beatriz Lopez Mencia

Beatriz spent seven years at the Polytechnic University of Madrid, diving deep into Speech Technologies and Voice Interaction Design. Her work on Embodied Conversational Agents laid the groundwork for her current role, where she manages the design of global digital consumer products like the My Vodafone App and the digital assistant TOBi. Imagine juggling 300 million conversations a year across 15 markets—talk about a chatty job!

Beatriz is a staunch advocate for a more human, relevant, and inclusive technology industry.

Her work ensures that TOBi's experience is consistent and expert, meeting customer needs no matter where they are in the world. She's not just bridging the gender gap in tech; she's building a digital bridge to the future, one user-friendly interface at a time.

So, if you're ever chatting with TOBi, remember there's a brilliant mind behind that friendly bot—Beatriz Lopez Mencia, making tech feel like a warm hug.

Here's a snapshot of her achievements, education, and experience

AttributeDetails
EducationPhD in Human Computer Interaction, Telecommunications Engineer
ExperienceOver 10 years in User Experience, 7 years in Research and Innovation at Polytechnic University of Madrid
ExpertiseSpeech Technologies, Voice Interaction Design, Embodied Conversational Agents
Current RoleManager of User Experience at Vodafone
Key ProjectsMy Vodafone App, Digital Assistant TOBi
AdvocacyPromotes human, relevant, and inclusive technology


16. Henrike Mueller

Henrike Mueller

As a Technical Specialist at the Financial Conduct Authority (FCA), Henrike is a key player in navigating the complex waters of AI in financial markets. With a Ph.D. in Financial Service Regulation from the University of Sussex, she’s as sharp as a tack and twice as resilient. Her journey from academia to the FCA is a testament to her passion for innovation and regulation.

Henrike's career is a fascinating blend of technology and regulation, making her a perfect fit for the ever-evolving world of AI.

She’s been with the FCA for over a decade, and her experience spans roles such as Manager of the AI Strategy Team and Technical Specialist in both AI and financial stability.

Talk about wearing many hats! Her work is crucial in ensuring that AI applications in finance are both ethical and effective, setting the gold standard for the industry.

AspectDetails
Current RoleManager, AI Strategy Team at Financial Conduct Authority
Previous RolesTechnical Specialist (AI), Manager Innovate, Technical Specialist (Financial Stability)
EducationPh.D. in Financial Service Regulation from the University of Sussex
Key AchievementsLeading FCA's AI strategy, contributing to AI Public-Private Forum report
ExperienceOver 11 years at FCA, expertise in AI policy and regulation

17. Cortnie Abercrombie

Cortnie Abercrombie

Meet Cortnie Abercrombie, a powerhouse in the world of artificial intelligence and the brilliant mind behind AI Truth, a nonprofit dedicated to promoting ethical and responsible AI practices. With a career as dynamic as a neural network, Cortnie has been a trailblazer in the tech industry, advocating for AI systems that are as fair and transparent as they are innovative.

Before founding AI Truth, Cortnie was an executive at IBM, where she led a Shark Tank-style AI solutions incubator, working with Fortune 500 companies to pioneer AI strategies that were both cutting-edge and responsible.

Her work at IBM earned her accolades such as being named one of the “12 Brilliant Women in Artificial Intelligence & Ethics to Watch” and one of the “Top 100 Innovators in Data and Analytics.” Talk about a resume that shines brighter than a supernova!

Here's a quick look at Cortnie's impressive journey

AchievementDetails
Founder & CEOAI Truth
Former ExecutiveIBM's Digital Transformation Team
EducationMBA from University of North Texas; BBA from The University of Texas at Austin
AwardsTop 12 Women to Watch in AI Ethics, Top 100 Innovators in Data & Analytics
Keynote SpeakerMIT, Carnegie Mellon, Harvard Law Association, SXSW
Editorial Board MemberSpringer Nature's AI and Ethics Journal

18. Stefania-Catalina Baincescu

Stefania-Catalina Baincescu

Stefania-Catalina Baincescu, the tech wizard who’s not just leading the charge at E.ON Software Development but also spearheading innovation at CAI Romania. With a knack for turning complex code into seamless solutions, Stefania is the kind of leader who makes you wonder if she’s secretly a superhero in disguise. Her journey from a NodeJS developer to a technical lead is nothing short of inspiring, proving that with the right mix of passion and perseverance, you can indeed conquer the tech universe.

Stefania's career is a testament to her dedication and expertise. She started as an intern at Host Europe Group, where she quickly mastered NodeJS and Angular2. Her skills and commitment led her to roles at GoDaddy and eventually to E.ON, where she climbed the ranks from a developer to a team lead.

Here's a quick look at Stefania-Catalina's impressive credentials

AchievementDetails
EducationFaculty of Informatics, Iasi
Current RolesTechnical Lead at E.ON Software Development, Team Lead at CAI Romania
ExpertiseChat and voice assistants, AI integration, system architecture
Notable ProjectsDeveloped international chat and voice assistants for E.ON
CertificationsMicrosoft Certified: Azure Fundamentals, Rasa Developer Certification, Cognigy.AI Developer + Architect

19. Tessa Darbyshire

Tessa Darbyshire

As Elsevier's Responsible AI & Data Science Strategy Manager, Tessa is the guardian angel of ethical algorithms. She's not just crunching numbers; she's making sure those numbers play nice and fair! With a background in philosophy (yes, she can out-debate Socrates on ethics), Tessa brings a unique perspective to the tech world.

Tessa's not just talking the talk; she's walking the AI walk. She's a qualified IEEE CertifAIEd AI Ethics Assessor (try saying that five times fast!) and the Vice Chair of the IEEE's AI Impact Use Cases Initiative. Talk about wearing multiple hats – and all of them ethical!

Here's a quick rundown of Tessa's impressive credentials

AchievementDetails
Current RoleResponsible AI Manager at Accenture
Previous RoleResponsible AI & Data Science Strategy Manager at Elsevier
EducationBA in Philosophy, Politics and Economics from New College of the Humanities
CertificationsIEEE CertifAIEd AI Ethics Assessor
Leadership PositionsVice Chair of IEEE's AI Impact Use Cases Initiative
ExpertiseAI Ethics, AI Governance, AI Risk Management

20. Supreet Kaur

Supreet Kaur

 Supreet Kaur, the Assistant Vice President at Morgan Stanley who's turning data into dollars and algorithms into assets!Supreet isn't just crunching numbers; she's revolutionizing the way Morgan Stanley uses AI-driven products. With a knack for predictive analytics and a passion for data science, she's the wizard behind the curtain, conjuring up solutions that would make even the most seasoned Wall Street veterans say, “Now that's what I call smart money!”

But don't let her serious title fool you – Supreet's journey is as colorful as a well-designed data visualization.

From her days as a math whiz at the University of Delhi to her current role as an AI product owner, she's been on a mission to prove that women in tech can not only lean in but also lead the charge.

Here's a quick peek at Supreet's impressive stats

AchievementDetails
EducationMaster's in Data Science from Rutgers University
Previous RolesData Science Consultant at ZS Associates
Current PositionAssistant VP at Morgan Stanley
Notable ProjectLed A/B testing to increase customer engagement for Project Genome
Side HustleFounder of DataBuzz, empowering tech enthusiasts
RecognitionSelected as Google WomenTechmakers Ambassador

21. Deena Gergis

Deena Gergis

Deena Gergis, the lead data scientist at Bayer who's giving a whole new meaning to “byte-ing” into big pharma! This data diva is not just crunching numbers; she's revolutionizing healthcare with her AI superpowers.Deena's journey is nothing short of inspirational.

With a Master's in Life Science Informatics from the University of Bonn (talk about brains and beauty!), she's been on a mission to unleash the untapped potential in all of us.

Her mantra? “With every AI solution I deploy, someone is given the opportunity to step up to their true potential.” Now that's what I call a tech-tastic vision!

CategoryDetails
Current RoleLead Data Scientist – Consumer Health at Bayer
EducationMSc in Life Science Informatics, University of Bonn
Previous ExperienceSenior Data Scientist at StepStone, Data Scientist at Deutsche Post DHL Group
Key Achievements• Implemented projects with ROI exceeding 5 million euros per year at StepStone
• Won “Distinguished Women in Data Science” global award at Bayer
• Led an AI-innovation project recognized as top 3 globally in emerging technology at Bayer
Areas of ExpertiseHyper-personalization, Digital Marketing, Human Resources
Fun FactGraduated top of her class with Honors

22. Carolyn Phillips

Carolyn Phillips

As a Senior Staff Machine Learning Scientist at Wayfair, Carolyn is the wizard behind the curtain, conjuring up AI magic that makes your shopping experience smoother than a silk pillowcase.With a PhD in Applied Physics and Scientific Computing from the University of Michigan, Carolyn's brain is wired for problem-solving. She's not just a data scientist; she's a data artist, painting beautiful patterns from the chaos of numbers.

Her specialty? Getting cutting-edge machine learning research out of the lab and into the real world, faster than you can say “add to cart“!

But Carolyn's journey to AI royalty didn't start in retail. Oh no, this queen has range! She kicked off her career as a computational scientist at Argonne National Laboratory, where she probably made atoms dance to her algorithmic tunes. Now, she's bringing that same scientific rigor to Wayfair, making sure your next furniture purchase is powered by some serious brainpower.

Here's a quick peek at Carolyn's impressive journey

AchievementDetails
EducationPh.D. in Applied Physics and Scientific Computing, University of Michigan
Current RoleSenior Staff Machine Learning Scientist, Wayfair
Previous ExperienceComputational Scientist, Argonne National Laboratory
SpecializationIntegrating ML research into engineering production systems
Fun FactCan wax poetic about self-assembling icosahedral quasicrystals

Women-Led Innovations in AI: Game-Changing Projects You Should Know

First up, we've got Joy Buolamwini, the “Poet of Code” who's making AI blush with her work on algorithmic bias. Her Gender Shades project exposed the not-so-pretty truth about facial recognition systems struggling to identify women and people of color. Talk about a face-off with discrimination! Joy's work is pushing the beauty industry and beyond to make up for lost time in diversity.

Joy Buolamwini, the Poet of Code
Fei-Fei Li

Next, let's chat about Fei-Fei Li, the brainiac behind ImageNet. This massive database of labeled images has been feeding computer vision algorithms their visual vitamins since 2009. Thanks to Fei-Fei, AI can now tell a hot dog from a not dog with scary accuracy. She's literally helping machines see the world in a whole new light!

Now, hold onto your neurons for Timnit Gebru's groundbreaking work. This AI ethics superstar is tackling the elephant in the room – or should I say, the bias in the algorithm? Her research on large language models is making waves, asking the tough questions about the environmental and societal impacts of AI. She's proving that when it comes to ethical AI, she's not just talking the talk, but walking the walk.

Timnit Gebru
Rana el Kaliouby

Last but not least, let's give a round of applause to Rana el Kaliouby, the emotion AI queen. Her company, Affectiva, is teaching machines to read human emotions like a book. From improving road safety to revolutionizing market research, Rana's work is showing that AI can have a heart as well as a brain. Who knew robots could be so emotionally intelligent?


And That’s a Wrap!

As I wrap up this journey through the world of “AI Queens”, I can't help but feel inspired and energized by these 22 incredible women leading the charge in 2024. They're not just breaking barriers; they're shattering them with the force of a thousand neural networks!

Let's face it, the tech industry has been a bit of a boys' club for far too long. But these ladies are flipping the script faster than you can say “machine learning“! Did you know that despite making up only 26% of the AI workforce, women are responsible for some of the most groundbreaking innovations in the field? Talk about quality over quantity!

Now, if you'll excuse me, I'm off to update my LinkedIn profile. Suddenly, “can operate a toaster” doesn't seem quite as impressive anymore!🤫🫣

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