Workshop in Biostatistics (BIODS/STATS 260)
Open to enrolled students and all members of the Stanford community.
Receiving Credit for Attending a Workshop Seminar
Students who wish to receive two credits must write an essay summarizing one of the seminars and discussing it critically in the context of the background readings.
Contact program manager Katie M. Kanagawa with questions. Suggestions and self-nominations for seminar speakers and topics are welcome.
The Workshop is held from 1:30-2:50pm in Medical School Office Building (MSOB), Rm x303, 1265 Welch Road, Stanford, unless otherwise specified on the calendar below.
Fall 2019 Calendar
|10/3||Gilmer Valdes (Assistant Professor of Radiation Oncology at UCSF)||
Breaking the tradeoff between interpretability and accuracy of machine learning algorithms
|10/10||Eric Jorgenson, PhD (Research Scientist at the Division of Research (DOR), Kaiser Permanente Northern California (KPNC))||
Genetic variation in the SIM1 locus is associated with erectile dysfunction
|10/17||Jingshen Wang (Assistant Professor in Biostatistics at UC Berkeley)||
|10/24||Scott Linderman (Assistant Professor of Statistics at Stanford)||
Models and Algorithms for Understanding Neural and Behavioral Data
|10/31||Erick Matsen (Associate Professor of Genome Sciences and of Statistics at University of Washington)||
Phylogenetic Variational Bayes
|11/7||Sonia Petrone (Professor and PhD Director of Statistics at Bocconi University, Milano)||
Bayes, empirical Bayes and recursive quasi-Bayes learning in mixture models
|11/14||Emma Pierson (Ph.D. Candidate in Computer Science at Stanford)||
Inequality in criminal justice and healthcare
Suggested Reading (Download PDF)
|11/21||Serena Yeung (Assistant Professor of Biomedical Data Science at Stanford)
Computer vision methods for observational study of hospital care processes
|12/5||Babak Shahbaba (Professor of Statistics and Computer Science at UC Irvine)||
Neural Data Analysis— From Stochastic Process Modeling to Deep Learning