Women in Data Science

By Professor Margot Gerritsen

Leading women in data science share their work, advice, and lessons learned along the way with Professor Margot Gerritsen from Stanford University. Hear about how data science is being applied and having impact across a wide range of domains, from healthcare to finance to cosmology to human rights and more. This podcast is brought to you by the Stanford Institute for Computational & Mathematical Engineering (ICME) and Stanford Data Science. Generous support for this podcast and other Women in Data Science initiatives has been provided by Facebook, Intuit, Walmart Global Tech, and Wells Fargo.

  1. 1.
    Karina Edmonds | Building bridges between business and academia
    38:02
  2. 2.
    Fatima Abu Salem | Applying data science for the public good in Lebanon
    33:39
  3. 3.
    Louvere Walker-Hannon | Gaining skills and overcoming barriers to a career in data science
    47:59
  4. 4.
    Menglin Cao | Data science in fintech and financial services
    29:52
  5. 5.
    Karen Hao | Covering AI and Ethics Washing in the Tech Industry
    34:19
  6. 6.
    Cecilia Aragon | Aerobatic Pilot, Author and Data Scientist
    32:13
  7. 7.
    Kristian Lum | Applying Statistics to Promote Fairness and Transparency
    30:50
  8. 8.
    Lillian Carrasquillo | Using Human-Centric Data Science at Spotify
    38:22
  1. 9.
    Femke Vossepoel | Applying Data Assimilation Tools to COVID Forecasting Models
    39:33
  2. 10.
    Francesca Dominici + Rachel Nethery | Using Data Science to Study Air Pollution Effect on COVID-19 Outcomes
    34:39
  3. 11.
    Manisha Desai | The Importance of Data Integrity in COVID-19 Clinical Trials
    38:03
  4. 12.
    Newsha Ajami | Improving Urban Water Systems Through Data Science, Public Policy and Engineering
    33:03
  5. 13.
    Andrea Gagliano | The Intersection of Arts and Technology
    31:36
  6. 14.
    Ya Xu | Using Data To Create Economic Opportunities For All Members Of Global Workforce
    40:14
  7. 15.
    Susan Athey | Bringing an Economist’s Perspective to Data Science
    51:30
  8. 16.
    Montse Medina | Lessons Learned Building a Data Science Startup
    37:00
  9. 17.
    Bonus Episode: Margot Gerritsen | How to Get More Women Into Data Science
    28:03
  10. 18.
    Timnit Gebru | Advocating for Diversity, Inclusion and Ethics in AI
    36:23
  11. 19.
    Christiane Kamdem + Lama Moussawi | WiDS Ambassadors Bring Education and Role Models to their Communities
    30:42
  12. 20.
    Sherrie Wang | Applying Machine Learning to Solve Global Food Security Challenges
    31:22
  13. 21.
    Marzyeh Ghassemi | Applying Machine Learning to Understand and Improve Health
    36:42
  14. 22.
    Shir Meir Lador | Using Data Science to Keep Financial Data Secure
    35:03
  15. 23.
    Natalie Evans Harris | Creating A Shared Code Of Ethics To Guide Ethical and Responsible Use of Data
    30:30
  16. 24.
    Meltem Ballan | Mission Impossible, Fingerprint Recognition, and Connected Cars
    33:15
  17. 25.
    Chiara Sabatti | Algorithms and the Human Genome
    34:55
  18. 26.
    Elena Grewal | From Education to Head of Airbnb Data Science
    43:51
  19. 27.
    Sonu Durgia | Optimizing the Online Shopping Experience
    28:47
  20. 28.
    Megan Price | Data Science and the Fight for Human Rights
    46:29
  21. 29.
    Eileen Martin + Nilah Monnier Ioannidis | Data in Seismology and Genomics Research
    37:52
  22. 30.
    Janet George | The Multifaceted World of Data Storage
    31:24
  23. 31.
    Jennifer Widom | Math, Computers, & Music
    20:47
  24. 32.
    Caitlin Smallwood | Data-Driven Video Content
    31:29
  25. 33.
    Jennifer Chayes | Eliminating Bias
    36:27

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