eventConference
Tim de Silva | AI Financial Advice: Supply, Demand, and Life Cycle Implications
SeminarOct 07, 202612:00 PM - 1:15 PM
October
07
2026
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This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401
This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401
For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.
For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.
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.
| Time | Session Title | Speaker(s) |
|---|---|---|
| 8:30 - 9:00 AM | Registration | |
| 9:00 - 9:10 AM | Opening Remarks | Laura Gwilliams, Assistant Professor of Psychology, and Stanford Data Science Faculty |
| 9:10 - 9:35 AM | Industry Keynote: Transforming Healthcare Supply Chain with Data and AI | Yuqing Sun, Vice President, Supply Chain Digital & Data Science, Johnson & Johnson Innovative Medicine |
| 9:35 - 10:20 AM | Panel: 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 AM | Break | |
| 10:40 - 11:00 AM | Research Talk: Enhancing Student Learning in the AI Era: A Data-Driven Approach to AI Policy Enforcement | Diane Woodbridge, Associate Professor of Data Science, University of San Francisco, Co-Founder, StudyStudio.ai |
| 11:00 AM - 12:30 pm | Lightning Talks: PhD Student & Postdoc Presentations: | |
| 11:00 - 11:15 AM | Data-driven insights to reshape deceased donor kidney allocation policy | Grace Guan |
| 11:15 - 11:30 AM | Toward concept-aware large language models | Chen Shani |
| 11:30 - 11:45 AM | Integrating multi-sensor data from whale-borne biologgers and aerial imagery reveals the physiological function of the planet’s largest animals | Ashley Blawas |
| 11:45 AM - 12:00 PM | Synthetic control in disaggregated data settings | Lea Bottmer |
| 12:00 - 12:15 PM | Deep learning surrogates for geothermal reservoir modeling: enabling robust decision-making in well placement | Kiana Jafari |
| 12:15 - 12:30 PM | Faithful synthetic data generation via penalized optimal transport network | Sophia Lu |
| 12:30 - 1:30 PM | Lunch | |
| 1:30 - 1:50 PM | Research Talk | Judith Fan, Assistant Professor of Psychology, by courtesy, of Education and of Computer Science |
| 1:50 - 2:10 PM | Tech Talk: The Power of Data at Netflix | Elizabeth Stone, Chief Technology Officer, Netflix |
| 2:10 - 2:50 PM | Panel: 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 PM | Break | |
| 3:10-3:30 | Research Talk | Bridget Algee-Hewitt, Sr. Associate Director of the Research Institute, Center for Comparative Studies in Race and Ethnicity (CCSRE) |
| 3:30 - 4:15 PM | Stanford Keynote | Diyi Yang, Assistant Professor of Computer Science, Stanford University |
| 4:15 - 4:20 PM | Closing Remarks | Julia Palacios, Associate Professor of Statistics, and Biomedical Data Science |
| 4:20 - 5:30 PM | Poster Session & Reception |
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.
