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. Previous mini-courses are archived here.

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 1:30-2:50pm during fall, winter, and spring quarters. Students may register for BIODS 232, but all are welcome to attend.

Currently scheduled topics are listed below, followed by links to topics and summaries from previous quarters. Click here to sign up for our mailing list. 

Liang Liang (Genetics)
Longitudinal profiling of biomarkers in human pregnancy
Justine Maller (Pediatric Rheumatology)
Extracellular vesicles in systemic juvenile idiopathic arthritis: clues to pathogenesis and biomarkers of disease
No Data Studio this week
Drop-in consulting
Elliott Main (Obstetrics & Gynecology)
Adjusting for risk factors when comparing cesarean birth rates between hospitals
Laura Hack (Psychiatry and Behavioral Sciences)
Biotype-guided (BiG) treatment trial for major depressive disorder: using neuroimaging markers to personalize antidepressant therapy
Mark Hlatky & Marc Søndergaard (Health Research and Policy)
I wish we’d measured that at the start! Filling in missing baseline data based on a (biased) sample
Drop-in consulting