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.

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.


The Data Studio is held each Wednesday 1:00-2:30pm 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 Autumn 2020 Data Studio sessions will be held via remote access only. 

Date Investigator Project Title



INVESTIGATORS: Beth Darnall, Director, Stanford Pain Relief Innovations Lab; Sean Mackey, Chief, Division of Stanford Pain Medicine

Transforming Pain Care in America—No Patient Left Behind

Abstract (PDF)

9/23 INVESTIGATORS: Matthew Muffly, Department of Anesthesiology; Fania Lazarov, Department of Pharmacy, LPCH.

Accuracy of Administered Small-volume Opioid Injections in the Pediatric Post-operative Setting

Abstract (PDF)

9/30 Data Studio Office Hour

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. Sessions are 15 minutes long but might be extended at the discretion of the coordinator. If you register for a session, please be present at the start time on Wednesday.

Full Details (PDF)


INVESTIGATORS: Lori Muffly, Assistant Professor, Blood & Marrow Transplantation; Evan Weber, Postdoctoral Fellow, Center for Cell Therapy 

Phase I Study of KTE-X19 + Dasatinib in Relapsed/Refractory Adult Acute Lymphoblastic Leukemia

Abstract (PDF)


INVESTIGATOR: John S. Tamaresis, Biostatistician, Biomedical Data Science

Development of a Prediction Model for Unplanned Care Events

Abstract (PDF)


INVESTIGATORS: Anna Frackman, Resident, Anesthesiology; Sara Goldhaber-Fiebert, Clinical Professor, Anesthesiology

Zoom access: Password: 489313. 

Effective Implementation and Use of Emergency Manuals

Abstract (PDF)