Data Studio


We foster dialogue between data scientists and researchers in clinics and laboratories in order to drive excellence in health care research at Stanford.

If you are interested in any of our biomedical data support services, please contact us by completing the Request for DBDS Consultation Services/Collaboration form.

About the 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. The 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. BDS 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. Consult the schedule below for the date, time, and location of the drop-in session.

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.

Schedule

The Data Studio is held each Wednesday 1:30-3:00pm during fall, winter, and spring quarters. Consult the schedule below for the location of each session. 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. 

Date Investigator Project Title

1/8

MSOB X399

INVESTIGATORS:

Professor Michael Eisenberg, Department of Urology, Stanford University

Professor Maarten Wensink, Department of Epidemiology, Biostatistics, and Biodemography, University of Southern Denmark

Association between Paternal Medication Use Prior to Conception and Adverse Birth Outcomes

Abstract (PDF)

1/15

MSOB X393

INVESTIGATORS:

James Zou, Department of Biomedical Data Science

Ruishan Liu, Department of Electrical Engineering

Eligibility Criteria Relaxation and Optimization for Clinical Trials

Abstract (PDF)

1/22

MSOB X393

INVESTIGATOR: This week, Data Studio holds office hours for your data science needs. Reserve a 20-minute session by completing the Registration Form. If you register for a session, please be present at 1:30 PM.

Data Studio Office Hour 

Details and Registration (PDF)

1/29 Session cancelled to accommodate the DBDS Faculty Retreat  

2/5

MSOB X393

INVESTIGATOR: This week, Data Studio holds office hours for your data science needs. Reserve a brief session by completing the Registration Form. If you register for a session, please be present at 1:30 PM on Wednesday.

Data Studio Office Hour 

Details and Registration (PDF)

2/12

MSOB X393

INVESTIGATORS:

Bruce Ling, Pediatric Surgery and Shiying Hao, Pediatric Cardiac Surgery

Early Detection of Preeclampsia

Abstract (PDF)

2/19

MSOB X393

INVESTIGATOR:

Guangbo Chen, Institute for Immunity, Transplantation, and Infection

Early Detection of Skin and Other Cancers

Abstract (PDF)

2/26

MSOB X393

INVESTIGATOR: Yan Min, Epidemiology and Population Health

Metabolite-mediated Sex-specific Associations between Microbiome and Fat Distribution

Abstract (PDF)

3/4 TBD TBD
3/11 TBD TBD