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 Science as a Career
Sherrie Wang, spoke to us when she was a fourth year PhD student at Stanford’s Institute for Computational and Mathematical Engineering (ICME), explains how she applies machine learning methods to help solve global food security challenges. Sherrie has since completed her PhD, and is working as a postdoc at UC Berkeley, working on machine learning for sustainability.
TOPICS: Algorithms, Data Generation/Collection, Data Science as a Career, Featured
Marzyeh Ghassemi, an assistant professor at the University of Toronto, is focused on Healthy ML—applying machine learning to understand and improve health.
TOPICS: Algorithms, Data Generation/Collection
Shir Meir Lador, data science team lead at Intuit in Israel, develops machine learning models for security, risk and fraud in products like Quickbooks, Turbo Tax and Mint.
TOPICS: Values
Natalie Evans Harris, a leader on ethical and responsible use of data, explains how building trust through a shared vision and data “code of ethics” is essential to promote both innovation and privacy.
TOPICS: Data Science as a Career
When we spoke to Meltem Ballan, she was a data scientist working on Connected Cars at General Motors (GM). In this episode, she explains how data science is transforming the automotive industry.
TOPICS: Algorithms, Data Generation/Collection
Chiara Sabatti, professor of biomedical data science and of statistics at Stanford University, discusses trends in data science in genetics.
TOPICS: Data Science as a Career, Foundations (Mathematics/Statistics)
We spoke to Elena Grewal when she was Airbnb’s head of data science, where she discovered the key to making successful career jumps: “Often it’s more about words being different than about skills being different”. Elena founded and runs Data 2 the People, a community of data scientists working on projects for the public good.
TOPICS: Algorithms, Data Generation/Collection
Sonu Durgia spoke to us when she was at Walmart Labs where she mined the store’s massive backlog of digital interactions to engineer a better e-commerce experience for customers. She now works at Facebook AI as a product leader in their Responsible AI group.
TOPICS: Algorithms, Data Generation/Collection
The executive director of the Human Rights Data Analysis Group (HRDAG) discusses how data science is being used to combat injustices in Central America and the Middle East.
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.
