Data Studio

The Data Studio is a collaboration between Spectrum (The Stanford Center for Clinical and Translational Research and Education) and the Department of Biomedical Data Science (DBDS). Its fundamental goal is to foster dialog between statisticians/data scientists and researchers in clinics and laboratories in order to drive excellence in health care research at Stanford. Data Studio is open to the Stanford community, and we expect it to have educational value for students and postdocs interested in biomedical data science.

Most sessions are an extensive and in-depth consultation for a Medical School researcher based on research questions, data, statistical models, and other material prepared by the researcher with the aid of our facilitator. During the Data Studio, the researcher explains the project, goals, and needs. Experts in the area across campus will be invited and contribute to the brainstorming. After the meeting, the facilitator will follow up, helping with immediate action items and summary of the discussion. Ultimately, we strive to pair up each PI with a data scientist for long term collaboration.

The last session of each month is devoted to drop-in consulting. DBDS faculty are available to provide assistance with your research questions. Bring any data, prior analyses, or other materials that you have. No advance notification is required, but you will reserve your place in the queue and help us prepare if you send a brief description of your project to Laurel Stell.

A Data Studio session may also be an informal, interactive presentation by a data scientist on a topic, such as advanced data visualization in R, the statistical properties of convolutional neural networks (CNN), etc.

Interested in discussing your study in a Data Studio?

If you are a Medical School investigator, clinical or laboratory, who is interested in participating in one of the in-depth consultations, please fill in the consultation request form.


The Data Studio is held each Wednesday 1:30-3pm  during fall, winter, and spring quarters.

Currently scheduled topics are listed below. Click here to sign up for our mailing list. 


Special Time:
5-6 pm

Ying Lu, Ph.D.
Professor of Biomedical Data Science, Stanford

Location: @ LKSC 209
Drop-in consulting
@ LKSC 209
Tom Collins
Clinical Associate Professor
Pediatrics-Cardiology, Stanford

@ LKSC 209
Transcription signature of Williams syndrome
(Summary and background reading)
Viola Chen, Medical Fellow,
Alice Fan, Assistant Professor of Medicine-Oncology, Stanford

@ LKSC 209
Utilizing platelet RNAseq for early detection of kidney cancer
(Summary and background reading)
Shivaani Kummar, Professor, Medicine & Radiology
Jason C. Paik, Medical Fellow, Stanford Cancer Institute
Teresa Purzner, Bio-X SIGF Graduate Student Fellow, Developmental Biology

@ LKSC 209
Basket trials for oncology studies
(Summary and background reading)
Drop-in consulting
@ MSOB x393
Suzann Pershing, Assistant Professor, Ophthalmology, PA VA
Heather Moss, Assistant Professor, Ophthalmology & Neurology, Stanford
Scott Lambert, Professor, Ophthalmology, Stanford
Albert Wu, Assistant Professor, Ophthalmology, Stanford

@ LKSC 209
IRIS: a registry of ophthalmology patients
(Summary and background reading)
C Garrison Fathman
Professor of Medicine (Immunology and Rheumatology), Emeritus

@ LKSC 209
Transcription signature of diabetes risk
(Summary and background reading)
Kathleen L. Poston
Associate Professor, Neurology and, by courtesy, Neurosurgery

@ LKSC 209
Identifying depression in Parkinson's disease using the BDI-II
(Summary and background reading)
Drop-in consulting
@ MSOB x393
Rishi Mediratta and Rasika Behl,
Stanford Packard Global Child Health Program

@ CCSR 4205
Prediction of NICU deaths at Gondar (Ethiopia) Hospital
(Summary and background reading - TBA)
Drop-in consulting
@ MSOB x393