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2025 Stanford Data Science Conference

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Agenda (subject to change)

TimeSession TitleSpeaker(s)
8:30 - 9:00 AMRegistration & Breakfast 
9:00 - 9:15 AMWelcome RemarksGuido Imbens, SDS Faculty Director
9:15 - 10:15 AMKeynote: "UniLasso”—a novel statistical method for sparse regression, and "LLM-lasso"—sparse regression with LLM assistanceRob Tibshirani, Professor of DBDS and Statistics, Stanford
10:15 - 10:30 AMBreak 
10:30 - 11:15 AMDesigning for Impact with Marlowe GPU-Based Computational Instrument 
10:30 - 10:45 AMWorld Modeling with Probabilistic Structure IntegrationKlemen Kotar, Computer Science PhD Candidate
10:45 - 11:00 AMAdvancing Equivariant Graph Neural Networks for Turbulence ModelingNikita Kozak, Mechanical Engineering PhD Candidate
11:00 AM - 11:15Marlowe Speeds Up Data Processing of Single-Particle Cryo-EM for Large and Flexible MacromoleculesDong-Hua Chen, Senior Research Scientist
11:15 AM - 12:00 PMCatalysts for Collaboration: The Role of Faculty-Led Research Centers in Data Science
  • Tom Abel, Professor of Physics, SLAC
  • Ramesh Johari, Professor of Management Science and Engineering, and Stanford Causal Science Center Co-Director
  • David Lobell, Professor, Department of Earth System Science, and Center for Sustainability Data Science Director
  • Maya Mathur, Associate Professor at Stanford University's Quantitative Sciences Unit
  • Moderator: Elizabeth Wilsey
12:00 - 1:00 PMLunch & Networking Tables 
1:00 - 1:45 PMBeyond the Fellowship: Stanford Data Science Alumni Journeys
  • Emmanuel Balogun, Machine Learning and Optimization Engineer, Google X
  • Johannes Ferstad, OpenAI
  • Annie Lamar, Assistant Professor of Computational Classics, UC Santa Barbara
  • Marissa (Lee) Sinopoli, Assistant Professor of Engineering, Harvey Mudd College
  • Daniel Muise, Founder & CEO, Screenlake
  • Krishna Rao, Data & Climate Scientist, Watershed
  • Moderator: John Chambers
1:45 - 2:00 PMBreak 
2:00 - 3:30 PMPoster Preview Talks with SDS Data Science Scholars and SDS Postdoc Fellows 
2:00 - 2:15 PMBIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific LiteratureMin Sun
2:15 - 2:30 PMThe Importance of Implicit Semantic Context when Classifying Rare Phenomena in Large Scientific ImageryEllianna Abrahams
2:30 - 2:45 PMDeep learning enables efficient computation of white shark morphometrics from aerial imagery in Monterey BayAlexandra DiGiacomo
2:45 - 3:00 PMUsing satellites and machine learning to accelerate impact evaluationIván Higuera-Mendieta
3:00 - 3:15 PMSharpe Ratio-Guided Active Learning for Preference Optimization in RLHFSyrine Belakaria
3:15 - 3:30 PMTowards faithful synthetic data generation via penalized optimal transport networkSophia Lu
3:30 - 3:35 PMClosing RemarksChiara Sabatti, SDS Associate Director
3:35 - 4:35 PMPoster Session #1 & Reception (Shivakumar Backyard, 1st floor) 
4:35 - 5:35 PMPoster Session #2 & Reception (Shivakumar Backyard, 1st floor)