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.
Episode 33
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.
Episode 32
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.
Episode 13
Marzyeh Ghassemi, an assistant professor at the University of Toronto, is focused on Healthy ML—applying machine learning to understand and improve health.
TOPICS: Data Generation/Collection
Finding new ways to collect data – and a willingness to share it – are the hallmarks of a career in academia, according to Eileen Martin and Nila Monnier Ioannidis, when they were at Stanford, as a PhD student and postdoc, respectively. Now, Eileen is an Assistant Professor at Virginia Tech, moving to become an Assistant Professor at Colorado School of Mines in January 2022. Nila is an Assistant Professor at UC Berkeley.
TOPICS: Algorithms, Data Science as a Career, Foundations (Mathematics/Statistics)
Janet George spoke to us when she was Western Digital’s chief data officer and first female Fellow. In this episode Janet explains that from manufacturing to product development, data science plays an important role in the storage industry. Janet is now the Group Vice President, Autonomous Enterprise, Advanced Analytics, Machine Learning & Artificial Intelligence at Oracle.
TOPICS: Data Science as a Career
Dean Jennifer Widom has seen computer science–and data science– evolve from a narrow, specialized field into an interdisciplinary field that touches on broad swaths of society and is capable of solving important global problems.
TOPICS: Algorithms, Data Science as a Career
Caitlin Smallwood spoke to us when she was VP and Head of Data Science and Insights at Netflix. In this episode, she discusses the future of storytelling.
TOPICS: Algorithms, Data Science as a Career
Jennifer Chayes, spoke to us when she was a technical fellow and managing director at Microsoft Research. She believes data scientists should build algorithms with Fairness, Accountability, Transparency, and Ethics – or FATE. Jennifer now serves as Associate Provost and Dean at the University of California at Berkeley (UCB).
TOPICS: Data Science as a Career, Values
Women face many roadblocks to careers in data science and other STEM disciplines. One Stanford professor is out to change perceptions and realities for women in these fields.
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 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.
