BMI 205: Precision Practice with Big Data

  • Location: Li Ka Shing Center, Room 120 Seminar Room, Stanford University.
  • Time: Wednesdays 12:30-1:20pm, lunch will be provided and served at 12:00pm.
  • VIDEOS: Recordings will be posted after each lecture.

Schedule, Fall 2015

Date Presenter Department Title Slides Reading Questions
Sep 23 Jennifer Frankovich Pediatrics - Rheumatology Examples of how an Md can use informatics to improve clinical care Introduction Slides
Sep 30 Daniel Rubin Radiology and Medicine (BMIR) Research Discovery and Precision Practice with Unstructured Biomedical Data slides Rapid-Learning System for Cancer Care
Best Care at Lower Cost: The Path to Continuously Learning Health Care in America
Oct 7 Sylvia Plevritis General Radiology Tools for visualizing high dimensional single cell data and inferring cellular hierarchy slides Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum
Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE
CCAST: a model-based gating strategy to isolate homogeneous subpopulations in a heterogeneous population of single cells
Oct 14 Robert Tibshirani Health Research & Policy, and Statistics An application of the lasso to cancer detection slides Molecular assessment of surgical-resection margins of gastric cancer by mass-spectrometric imaging Q-week4
Oct 21 Robert Shafer Infectious Diseases and Geographic Medicine The Stanford HIV Drug Resistance Database. A platform for research collaborations and knowledge discovery slides Q-week5
Oct 28 Russ Altman Biomedical Informatics Multiscale informatics for understanding drug response slides Detecting Drug Interactions From Adverse-Event Reports: Interaction Between Paroxetine and Pravastatin Increases Blood Glucose Levels
Integrating Systems Biology Sources Illuminates Drug Action
Relating Essential Proteins to Drug Side-Effects Using Canonical Component Analysis: A Structure-Based Approach
Nov 4 Joshua Knowles Cardiovascular Medicine Finding FH patients in the EMR using machine learning - Familial hypercholesterolaemia is underdiagnosed and undertreated in the general population: guidance for clinicians to prevent coronary heart disease Q-week7
Nov 11 Olivier Gevaert Biomedical Informatics Multi-scale data fusion slides Q-week8
Nov 18 Sarah Aerni Principal Data Scientist, Pivotal Data science in Biomedicine: The view of industry from a technology perspective slides Q-week9
Nov 25 No Class
Dec 2 Eric Brown Thomas J. Watson Research Center, IBM Watson and Cognitive Computing for Healthcare - Q-week10


  • Welcome to BIOMEDIN 205!
  • Lunch will be served before each lecture.


Mailing List

Non-enrolled students who would like to receive announcements: please email me ( your request with BMI 205 included in the subject line.


The only requirement is weekly attendance. If you are unable to attend, you will need to view the videotaped seminar (see top of the page) and complete a short written assignment / answer questions based on the content of the seminar. These make-up questions will be posted shortly after lecture and are due prior to the next scheduled talk. Submit by emailing to with BMI 205 at the beginning of the subject line.

Past Quarters

bmi_205_fall_2015.txt · Last modified: 2016/08/28 16:04 by stuo
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