Workshop in Biostatistics (BIODS/STATS 260)

Students who wish to receive two credits need to write an essay summarizing one of the seminars and discussing it critically in the context of the background readings.

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M112 Alway Building, Medical Center
(next to the Dean's courtyard - map)
1:30 pm - 2:50 pm

April 6, 2017 - June 8, 2017

Date Speaker Title of Talk

4/6
(1st Workshop)

David Tse
Professor of Electrical Engineering
Electrical Engineering Department, Stanford

Haplotype Phasing and Community Recovery
(Abstract and suggested readings)

4/7 (Fri)
Special event

Heping Zhang
Susan Dwing Bliss Professor of Biostatistics
Yale University School of Public Health
Surrogate Residuals: A Little Thing to Pick Up
(Abstract)
4/13 Mark DePristo
Head of deep learning for genetics and genomics
Google Brain Team, Google Inc.
Deep learning in medicine: An introduction and applications to next-generation sequencing and disease diagnostics
(Abstract and suggested readings)
4/20

Daniele Fanelli
Sr Research Scientist
Meta-Research Innovation Center at Stanford (METRICS)

Measuring scientific bias across disciplines and countries
(Abstract and suggested readings)
4/27

Camille Pataki
Ph.D. Candidate, Biochemistry
Junyang Qian
Ph.D. Candidate, Statistics

Collaborators:
Junyang Qian, Ron Kopito, Bradley Efron, and Trevor Hastie

Identify monolayer-integrated proteins from a proteomic dataset by Dirichlet mixture models
(Abstract and suggested readings)
5/4
Matthew R. Nelson, PhD
Head, Genetics
GSK, King of Prussia, PA
The role of genetic evidence in drug discovery and development
(Abstract and suggested readings)
5/11
Stefano Ermon
Assistant Professor
Department of Computer Science, Stanford Unversity
Artificial Intelligence for Sustainability
(Abstract and suggested readings)
5/18
Melissa Gymrek
Assistant Professor, Department of Medicine
Department of Computer Science and Engineering
University of California, San Diego
Analyzing and interpreting short tandem repeat variation in humans
5/25
Christina Curtis, PhD, Msc
Assistant Professor, Departments of  Medicine and Genetics
Quantifying tumor evolution through spatial computational modeling and Bayesian statistical inference
(Abstract and suggested readings)
6/1
Franziska Bell
Uber
TBA
6/8 Karthik Ram TBA

Contact Bonnie Chung (650-723-5301) bchung@stanford.edu to be on the e-mail list. Suggestions and self-nominations for seminar speakers and topics are welcome.