San Francisco Bay Are Chapter of American Statistical Association
SFASA
San Francisco Bay Are Chapter of American Statistical Association
SFASA
SFASA, the San Francisco Bay Area Chapter of the American Statistical Association (ASA), is non-profit organization run by dedicated volunteers.
This is the place where you will find announcements of local statistical events and seminars, Bay Area job listings, and information on local jobseekers and consultants.
Tuesday, July 21, from 7:00–9:00 PM.
link to registration site
Each year, the San Francisco Bay Area Chapter of the American Statistical Association (ASA) offers several awards to students traveling to the Joint Statistical Meetings (JSM) to present their research. Over the past 10 years, more than 30 awards have been given to qualified students. This year, six current graduate students from across the Bay Area have received awards to cover their expenses for attending JSM 2026, and they will be giving a virtual presentation of their talks. Below are the details of our speakers and their presentations.
Ivy Zhang
Stanford University
Title: Scalable Multi-Response Learning with Effect Decomposition
Co-author: Rob Tibshirani, Stanford University
Wenxin Zhang
University of California, Berkeley
Title: Longitudinal Adaptive Design for Efficient Learning of Causal Estimands: Application to Multiple Time-to-Treatment-Initiation Effects
Co-author: Mark van der Laan, University of California, Berkeley
Aubree Krager
University of California, Santa Cruz
Title: Small Area Estimation via Topic Modeling for Free-Response Text Data
Co-authors: Paul Parker, University of California Santa Cruz; Scott Holan, University of Missouri/U.S. Census Bureau
Zora Nakato
University of California, Berkeley
Title: Targeted Learning to Evaluate HIV Prevention Strategies in Real-World Settings
Co-author: Laura Balzer, University of California, Berkeley
Aditya Ghosh
Stanford University
Title: Which Covariates to Adjust for? Specification-robust Causal Inference in Observational Studies
Co-author: Dominik Rothenhaeusler, Stanford University
Zhongming Xie
University of California, Berkeley
Title: Efficient Subgroup Analysis via Optimal Trees with Global Parameter Fusion
Co-authors: Josep Giorgio, University of California, Berkeley; Jingshen Wang, UC Berkeley.
Link to San Francisco Bay Area Chapter in linkedin.com.