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.

Spring 2019 Calendar

DATE INVESTIGATOR PRESENTATION TITLE
4/4 Steve Yadlowsky (Ph.D. Candidate, Electrical Engineering at Stanford)

Bounds on the conditional and average treatment effect with unobserved confounding factors

(Abstract)

4/11 Jimmie Ye (Assistant Professor of Epidemiology & Biostatistics, UCSF)

Multiplexed Single Cell RNA-sequencing

(Abstract)

4/18 Karol Estrada (Director of Statistical Genetics at BioMarin Pharmaceutical, Inc.)

Using human genetics to identify other genetic forms of short stature

(Abstract)

4/25 James Zou (Assistant Professor of Biomedical Data Science at Stanford), Amarita Ghorbani (Ph.D. Student, Electrical Engineering), & Abubakar Abid (Ph.D. Student, Electrical Engineering)

What is your data worth? Quantifying the value of data in machine learning

(Abstract)

5/2 Stephen Montgomery (Associate Professor of Pathology and of Genetics at Stanford)

Partying with the outliers: identifying large-effect rare variants using functional genomics

(Abstract)

5/9 Xin Shi (Reader in Applied Statistics at Manchester Metropolitan University and Director of Manchester Met China Centre)

Big data for health management—early diagnosis, intervention and prevention

(Abstract)

5/16 John Witte (Professor of Epidemiology & Biostatistics at UCSF)

Construction and application of polygenic risk scores

(Abstract)

5/23 Jennifer Listgarten (Professor of Electrical Engineering and Computer Science at UC Berkeley)

Accelerating protein and molecule engineering with machine learning-based optimization

(Abstract)

5/30 Adam Auton (Principal Scientist at 23andme)

Participant-Powered Research

(Abstract)