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, 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.

Schedule

The Data Studio is held each Wednesday 1:30-2:50pm in MSOB x303 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. 

Date Investigator Project Title

4/3

MSOB X399

Jane Kim (Clinical Assistant Professor, Psychiatry & Behavioral Sciences at Stanford) 

Ethical considerations in online bandit problems and offline policy evaluation in mHealth

Summary (PDF)

4/10 No studio  
4/17 Vivian Saper (Pediatrics, Division of Human Gene Therapy)

Series Two: sJIA and lung disease

Summary (PDF)

4/24

MSOB X399

Drop-in consulting  
5/1 Laurel Stell (Research Engineer, Stanford Biomedical Data Science)

An Introduction to ggplot2 for Advanced Graphics in R

Summary (PDF). Access Slides and RMD file

5/8 Suzann Pershing (Ophthalmology) & Tina Hernandez-Boussard (Medicine - Biomedical Informatics)

Leveraging Big Data to Assess the Impact of Vision and Eye Surgery on Dementia

Summary (PDF).

5/15 Roham Zamanian (Medicine - Pulmonary & Critical Care Medicine) Master protocols in pulmonary arterial hypertension (PAH)
5/22 No Studio due to Big Data in Precision Health Conference  

5/29

MSOB X399

Drop-in consulting