35 episodes

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 GM, Intuit, Meta, TotalEnergies, Walmart Global Tech, and Wells Fargo

Women in Data Science Professor Margot Gerritsen, Cindy Orozco Bohorquez

    • Education
    • 4.8 • 40 Ratings

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 GM, Intuit, Meta, TotalEnergies, Walmart Global Tech, and Wells Fargo

    Tahu Kukutai | Advocating for indigenous data sovereignty

    Tahu Kukutai | Advocating for indigenous data sovereignty

    Tahu Kukutai, a professor at the University of Waikato in New Zealand and a Māori woman, is leading data sovereignty initiatives that advocate for indigenous data ownership, guardianship, and governance.

    • 38 min
    Allison Koenecke | Researching algorithmic fairness and causal inference in public health

    Allison Koenecke | Researching algorithmic fairness and causal inference in public health

    Allison Koenecke, currently a postdoc at Microsoft Research and soon to be assistant professor at Cornell, discusses her decision to pursue a career in academia focused on algorithmic fairness and causal inference in public health.

    • 27 min
    Karina Edmonds | Building bridges between business and academia

    Karina Edmonds | Building bridges between business and academia

    Karina Edmonds, Global Head of Academies and University Alliances at SAP, has spent her career building bridges between business and academia. She is passionate about promoting fairness in data science by bringing more young people, women, and underrepresented groups into the field.

    • 38 min
    Fatima Abu Salem | Applying data science for the public good in Lebanon

    Fatima Abu Salem | Applying data science for the public good in Lebanon

    Fatima Abu Salem, a professor at the American University of Beirut, talks about how the conflict in the region has shaped her life journey and motivates her to apply data science for the public good to address challenges in Lebanon.

    • 33 min
    Louvere Walker-Hannon | Gaining skills and overcoming barriers to a career in data science

    Louvere Walker-Hannon | Gaining skills and overcoming barriers to a career in data science

    Louvere Walker-Hannon, Application Engineering Team Leader at MathWorks, teacher and STEM Ambassador, talks about acquiring skills and overcoming barriers to work in data science.

    • 48 min
    Menglin Cao | Data science in fintech and financial services

    Menglin Cao | Data science in fintech and financial services

    Menglin Cao, Senior VP and Head of AI and NLP Model Development at Wells Fargo, discusses the central role of data science in fintech and financial services, and best practices for success.

    • 29 min

Customer Reviews

4.8 out of 5
40 Ratings

40 Ratings

sindhura ponnala ,

Loving the podcast

Listened to Andrea Gagliano and I loved that episode . I am an artist and a data scientist and I was so thrilled to know it’s possible to marry these two disciplines !! Thank you for putting this together !!

godmanchandra ,

Amazing podcast.

This was my first experience and I will keep tune in for more. Thank you very much for such inspiring and engaging talks. With wide range of topics including how we can apply data science and diverse collaboration in fighting against covid-19, improving healthcare, and economic opportunities.

Yumi Maharjan ,

Thankful!!!

Hello Wids team, thank you so much for providing such a wonderful content. It is such an motivation and opportunities for an individual like me who is looking forward to pursue careers in Data Science. As someone who wants to use math in social development projects I wanted to request if you could bring speakers from UNDP or similar platform who can share their journey and what they do in their roles. Once again thank you so much for giving this platform and I really appreciate it!

Top Podcasts In Education

Dr. Jordan B. Peterson
Motiversity
TED
Daily Stoic
Rich Roll
Lauryn Evarts & Michael Bosstick / Dear Media

You Might Also Like

Jon Krohn and Guests on Machine Learning, A.I., and Data-Career Success
Harvard Business Review
TED
The Wall Street Journal
New York Magazine
Jason Calacanis