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
(Abstract and suggested readings)
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
Data Science Manager, Uber

Towards 99% Availability via Intelligent Real-Time Alerting

(Abstract. No suggested readings.)

6/8 No Workshop

End of Spring Quarter