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Tune in, and get inspired with WiDS

Get to know the women behind the data science. Leading women in data science share their work, advice, and lessons learned. Hear about how data science is being applied and having impact across a wide range of domains. Join hosts Margot Gerritsen and Chisoo Lyons in the open and informal conversations with our many inspiring guests.

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EP. 42
English

Veronica Edwards is a dancer and choreographer who, after finding that physics was not in fact the major she wanted, studied sociology at Princeton University. In her words, she stumbled into her first job after graduation, which was with the company ReadWorks, and recently joined Polygence as a senior data analyst. In this podcast episode, she talks about Polygence, her wide-ranging educational and career background, the advice she has for others, and how dance has been an important part of her life and learning.

EP. 41
English

Jane Lauder, Chief Data Officer at Estée Lauder, explains how Estée Lauder combines data science with creativity to connect with their consumers, create aspirational products and support the longevity of their brands.

EP. 40
English

TOPICS: Algorithms, Data Generation/Collection

Priya Donti, Executive Director of Climate Change AI, explains multiple ways that machine learning and AI can be used to mitigate climate change. Her work at the intersection of climate change, computer science, and data science led her to co-found Climate Change AI, our partner for the WiDS Datathon 2023 challenge to improve long-term weather forecasting.

EP. 39
Spanish

Lesly Zerna, Google Developer Expert at Universidad Privada Boliviana, is a Bolivian researcher, teacher, mentor, content creator, and software developer. Shares her passion for learning and teaching data science and artificial intelligence. Lesly says learning works best when you know your personal learning style and apply that to practical topics you are interested in.​

EP. 38
English

TOPICS: Algorithms, Data Generation/Collection, Values

Leda Braga is founder and CEO of Systematica Investments, a hedge fund known for using data science-driven models to support its investment strategies. She explains how systematic investment management is data science applied to investment and how she believes it is the future of the financial industry.

EP. 37
Spanish

TOPICS: Data Generation/Collection, Data Science as a Career

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.

EP. 36
English

TOPICS: Data Generation/Collection, Data Wrangling

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.

EP. 35
English

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.​

EP. 34
English

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.

Podcast Hosts

Professor Margot Gerritsen

Margot Gerritsen was born and raised in the Netherlands, and after getting her PhD at Stanford, she.spent time in New Zealand in the Department of Engineering Science at the University of Auckland, returning to Stanford in 2001 as faculty member in Energy Resources Engineering. Margot specializes in the development of computational methods for renewable and fossil energy production. She is also active in coastal ocean dynamics and yacht design, as well as several other areas in computational mathematics including search algorithm design and matrix computations. Margot also Chairs the Board of Trustees for SIAM (Society for Industrial and Applied Mathematics).

Chisoo Lyons

Chisoo was born in South Korea and grew up living in Indonesia, Germany, and Jordan, before moving to the US. She attended University of California Berkeley and received a bachelor’s degree in Industrial Engineering & Operations Research and continued with her master’s focusing on Operations Research. Living in different parts of the world cultivated her ever-present curiosity about people and cultures. Chisoo worked for FICO, a global analytic and decision management company, applying data science to developing, consulting, and implementing decision support solutions for her clients. Her corporate career culminated in leadership roles managing innovation and lines of business. Now, as the Chief Program Director of Women in Data Science, Chisoo is thrilled to be in service of a global community of amazing women doing extraordinary work in the field of data science.