38 episodes

Leading women in data science share their work, advice, and lessons learned along the way with Professor Margot Gerritsen from Stanford University and Cindy Orozco from Cerebras Systems. Hear about how data science is being applied and having impact across a wide range of domains, from healthcare to finance to human rights and more.

Women in Data Science Professor Margot Gerritsen, Cindy Orozco Bohorquez

    • Education
    • 4.8 • 45 Ratings

Leading women in data science share their work, advice, and lessons learned along the way with Professor Margot Gerritsen from Stanford University and Cindy Orozco from Cerebras Systems. Hear about how data science is being applied and having impact across a wide range of domains, from healthcare to finance to human rights and more.

    Jessica Bohórquez | Using AI for leak detection in water pipelines (Spanish)

    Jessica Bohórquez | Using AI for leak detection in water pipelines (Spanish)

    Jessica Bohórquez, a researcher at the University of Adelaide in Australia and an industry consultant, is using AI and pressure transients to inspect and monitor water pipelines to detect leaks. She discusses her PhD research, working in industry and her advice for pursuing a career in data science.

    • 46 min
    Karolina Urbanska | Using data science to study human behavior

    Karolina Urbanska | Using data science to study human behavior

    Dr. Karolina Urbanska, a data scientist working for Teach First in the UK, has spent her career using data science to better understand human behavior. She discusses her work as a data science and psychology researcher, her decision to leave academia, and her learnings along the way.

    • 47 min
    Welcoming our new podcast co-host, Cindy Orozco

    Welcoming our new podcast co-host, Cindy Orozco

    WiDS Co-Founder Margot Gerritsen welcomes her new podcast co-host Cindy Orozco, as they interview each other about their career paths to data science, coping with the imposter syndrome, and successfully juggling busy lives.

    • 51 min
    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

Customer Reviews

4.8 out of 5
45 Ratings

45 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!

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