Lillian Carrasquillo | Using Human-Centric Data Science at Spotify

Lillian Carrasquillo | Using Human-Centric Data Science at Spotify

Author: Professor Margot Gerritsen, Chisoo Lyons December 3, 2020 Duration: 38:22
Lillian Carrasquillo, Insights Manager for Spotify’s Personalized Home team, explains how Spotify uses human-centric data science to create meaningful experiences for their listeners and creators.

Hosted by Professor Margot Gerritsen and Chisoo Lyons, Women in Data Science Worldwide is a conversation with researchers and practitioners at the forefront of a rapidly evolving field. Each episode moves beyond abstract theory to explore the tangible, often surprising, ways data science is applied. You’ll hear firsthand accounts of analytical work creating change, whether it’s developing new models for patient care, building equitable financial systems, or parsing complex climate datasets. The discussions are grounded in the professional journeys of the guests, who offer practical advice and reflect on the challenges they’ve navigated. This podcast provides a direct audio connection to a global community of experts, highlighting the diverse thought and innovation driven by women in the discipline. Listening reveals the human story behind the algorithms and the collective effort shaping the future of technology across every sector. It’s an ongoing series for anyone curious about the real-world impact of data, from students to seasoned professionals, offering perspective and insight naturally through each guest’s experience.
Author: Language: English Episodes: 59

Women in Data Science Worldwide
Podcast Episodes
Jennifer Widom | Math, Computers, & Music [not-audio_url] [/not-audio_url]

Duration: 20:45
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…
Jennifer Chayes | Eliminating Bias [not-audio_url] [/not-audio_url]

Duration: 36:22
Jennifer Chayes, a technical fellow and managing director at Microsoft Research believes data scientists should build algorithms with Fairness, Accountability, Transparency, and Ethics – or FATE.