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. 

Note: all Spring 2020 Data Studio sessions will be held via remote access only. 

Date Investigator Project Title

4/1

 

INVESTIGATORS: Robert Lowsky, Blood and Marrow Transplantation, & Ying Lu, Biomedical Data Science

 

A Novel Dose-Finding Method for a Phase 1 Clinical Trial of Kidney Graft Immune Tolerance Induction

Abstract (PDF)

4/8 INVESTIGATOR: Bibek Paudel, Biomedical Data Science

Spatiotemporal Modeling of Change in Healthcare Utilization due to Exposure to Wildfire Smoke

Abstract (PDF)

4/15 INVESTIGATORS: Alexander MacInnis, MS (2017) Epidemiology, Stanford, and Lorene Nelson, Associate Professor, Epidemiology and Population Health

Cohort Case Prevalence Estimation Using Time-to-Event Analysis

Abstract (PDF)

4/22 INVESTIGATORS: Maarten Lansberg, Neurology, Stanford University; Kevin Sheth, Neurology, Yale University; and Adam de Havenon, Neurology, University of Utah

Innovative Trial Design for Secondary Stroke Prevention

Abstract (PDF)

4/29

Data Studio Office Hour

REGISTRATION FORM: https://redcap.stanford.edu/surveys/?s=WMH74XCX33

This week, Data Studio holds office hours for your data science needs. Biomedical Data Science faculty are available to provide assistance with your research questions. Reserve a Data Studio Office Hour session by completing the Registration Form. 

Abstract (PDF)

5/6 INVESTIGATORS: Andrew Wardle, Visiting Scholar, Immunology, and Paul Bollyky, Associate Professor, Infectious Disease and Immunology

Design for the INHALE Clinical Trial: Avoidance of Lung Events in COVID-19

Abstract (PDF)

5/13

INVESTIGATOR: Angela Lumba-Brown, Pediatric Emergency Medicine

Recovery Course in Children with Complicated Mild Traumatic Brain Injury

Abstract (PDF)

5/20

INVESTIGATORS: Lihua Lei, Postdoctoral Fellow, Statistics; Emmanuel Candès, Professor, Statistics; and Chiara Sabatti, Professor, Biomedical Data Science

Survival Analysis of COVID-19 Patients

Abstract (PDF)

5/27

Data Studio Office Hour

REGISTRATION FORM: https://redcap.stanford.edu/surveys/?s=WMH74XCX33

This week, Data Studio holds office hours for your data science needs. Biomedical Data Science faculty are available to provide assistance with your research questions. If you need help with bioinformatics software and pipelines, check out the Computational Services and Bioinformatics Facility (http://cmgm-new.stanford.edu/) and the Genetics Bioinformatics Service Center (http://med.stanford.edu/gbsc.html). Reserve a Data Studio Office Hour session by completing the Registration Form. 

Abstract (PDF)

6/3

INVESTIGATORS: Michael B. Sklar, Statistics; Philip W. Lavori, Biomedical Data Science

VIDEOCONFERENCE: https://stanford.zoom.us/j/99374040337

A Contextual Multi-Arm Bandit for Surgical Treatment of Lumbar Stenosis

Abstract (PDF)

6/10