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Women in Data-Driven Discovery (WiD3) | Stanford HAI
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eventConference

Women in Data-Driven Discovery (WiD3)

Status
Past
Date
Thursday, March 06, 2025 8:30 AM - 5:30 PM PST/PDT
Location
Simonyi Conference Center, CoDa, 389 Jane Stanford Way, 4th floor, Stanford, CA 94305
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Event Contact
datascience@stanford.edu

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Everyone is welcome and encouraged to attend!

Join us for an inspiring and empowering conference highlighting the groundbreaking work of women researchers, practitioners, and industry leaders in data-intensive science. Taking place at Stanford on March 6, 2025, this vibrant event will foster connections and spark conversations around innovative methodologies and real-world applications across diverse fields. Hosted by Stanford Data Science in collaboration with leading AI, computational, and data-driven groups on campus, the conference offers a unique opportunity to celebrate achievements, exchange ideas, and strengthen the community at the forefront of data science.

Agenda: 

*Subject to change

TimeSession TitleSpeaker(s)
8:30 - 9:00 AMRegistration 
9:00 - 9:10 AMOpening RemarksLaura Gwilliams, Assistant Professor of Psychology, and Stanford Data Science Faculty
9:10 - 9:35 AMIndustry Keynote: Transforming Healthcare Supply Chain with Data and AIYuqing Sun, Vice President, Supply Chain Digital & Data Science, Johnson & Johnson Innovative Medicine
9:35 - 10:20 AMPanel: Data-Driven Discovery in Research

Carla Pugh, Professor of Surgery, Stanford University School of Medicine, and Director of the Technology Enabled Clinical Improvement (T.E.C.I.) Center 

Diyi Yang, Assistant Professor of Computer Science, Stanford University 

Madeleine Udell, Assistant Professor of Management Science & Engineering, Stanford University

Risa Wechsler, Director, Kavli Institute for Particle Astrophysics and Cosmology (KIPAC)

Moderator: Laura Gwilliams, Assistant Professor of Psychology, and Stanford Data Science Faculty

10:20 - 10:40 AMBreak 
10:40 - 11:00 AMResearch Talk: Enhancing Student Learning in the AI Era: A Data-Driven Approach to AI Policy EnforcementDiane Woodbridge, Associate Professor of Data Science, University of San Francisco, Co-Founder, StudyStudio.ai
11:00 AM - 12:30 pmLightning Talks: PhD Student & Postdoc Presentations: 
11:00 - 11:15 AMData-driven insights to reshape deceased donor kidney allocation policyGrace Guan
11:15 - 11:30 AMToward concept-aware large language modelsChen Shani
11:30 - 11:45 AMIntegrating multi-sensor data from whale-borne biologgers and aerial imagery reveals the physiological function of the planet’s largest animalsAshley Blawas
11:45 AM - 12:00 PMSynthetic control in disaggregated data settingsLea Bottmer
12:00 - 12:15 PMDeep learning surrogates for geothermal reservoir modeling: enabling robust decision-making in well placementKiana Jafari
12:15 - 12:30 PMFaithful synthetic data generation via penalized optimal transport networkSophia Lu
12:30 - 1:30 PMLunch 
1:30 - 1:50 PMResearch TalkJudith Fan, Assistant Professor of Psychology, by courtesy, of Education and of Computer Science
1:50 - 2:10 PMTech Talk: The Power of Data at NetflixElizabeth Stone, Chief Technology Officer, Netflix
2:10 - 2:50 PMPanel: Data, Discovery, and Decision-Making In Industry

Elizabeth Stone, Chief Technology Officer, Netflix

Karin Kricorian, Vice President, Disney Decision Science and Integration, The Walt Disney Company

Molly Jackman, Head of Business Data Science & Analytics, OpenAI

2:50 - 3:10 PMBreak 
3:10-3:30Research TalkBridget Algee-Hewitt, Sr. Associate Director of the Research Institute, Center for Comparative Studies in Race and Ethnicity (CCSRE)
3:30 - 4:15 PMStanford KeynoteDiyi Yang, Assistant Professor of Computer Science, Stanford University
4:15 - 4:20 PMClosing RemarksJulia Palacios, Associate Professor of Statistics, and Biomedical Data Science
4:20 - 5:30 PMPoster Session & Reception 

Organizing Committee

  • Julia Palacios, Department of Statistics, and Department of Biomedical Data Science

  • Laura Gwilliams, Department of Psychology, and Stanford Data Science Faculty

  • Susan Clark, Physics Department, Stanford University, and Co-Director for the Center for Decoding the Universe

We extend our deepest gratitude to the Conference Organizing Committee for their dedication, hard work, and commitment to making this event a resounding success.