Hosted by The Data Science Institute and Columbia University Irving Medical Center.


The Data Science Institute and Columbia University Irving Medical Center have a new partnership focused on building collaborative research projects that leverage foundational data science for new clinical advances.On the biomedical side, this is driven by emerging access to large scale complex datasets due to recently deployed technologies, e.g. in imaging, genomics, and electronic health records. These data challenges are looking for analysis tools to tackle them. On the engineering side, method developers are seeking data to sink their teeth into and test their developments in real-world settings. The new Data Science and Health Initiative (DASHI) aims to bridge this gap and create synergy between our institutional strengths.Join the inaugural meeting to meet colleagues and potential collaborators from across Columbia University.


Friday, June 25, 2021 (3:00 PM – 5:00 PM ET) – Online Event

This event is open to the Columbia University faculty. Please contact to express your interest in joining.

Meeting Agenda

Introductions (3:00 PM – 3:10 PM EDT – 10 minutes)

  • Jeannette M. Wing, Avanessians Director of the Data Science Institute and Professor of Computer Science at Columbia University (5 minutes)
  • Anil K. Rustgi, MD, is the Interim Executive Vice President and Dean of the Faculties of Health Sciences and Medicine at Columbia University and the Director of the Herbert Irving Comprehensive Cancer Center at NewYork-Presbyterian Hospital/Columbia University Irving Medical Center (5 minutes)

Session 1: Research Examples (3:10 PM – 4:10 PM EDT – 60 minutes)

This session brings forth already existing examples of research efforts and partnerships that span the range between state of the art methods and data as positive models for projects that can emerge form DASHI.

  • Nicholas Tatonetti, Associate Professor of Biomedical Informatics (in System Biology and Medicine), Columbia Vagelos College of Physicians and Surgeons.
    • Talk Title: Using Machine Learning to Identify Adverse Drug Effects Posing Increased Risk to Women – (25 minute talk, 5 minutes questions)
  • Elham Azizi, Assistant Professor of Biomedical Engineering; and Herbert & Florence Irving Assistant Professor of Cancer Data Research, Irving Institute for Cancer Dynamics, Columbia University.
    • Talk Title: Spatial Transcriptomics Imaging – (25 minute talk, 5 minutes questions)

Session 2: Ideas & Open Discussion (4:10 PM – 5:00 PM EDT – 50 minutes)

To bolster collaboration, this session of the inaugural meeting is an opportunity for both method creators and data generators to bring forth their work and avail themselves to the formation of new partnerships with cross-complementary collaborators. Attendees can submit an idea or research topic area to present on during the this open discussion segment of the event.  

Examples include:

  • Clinical datasets looking for data science solutions – Chaired by Lawrence Schwartz (20 minutes)
  • Data science methods (e.g. machine learning) looking for clinical data – Chaired by Elias Bareinboim (20 minutes)

Data Science and Health Initiative Steering Committee Members

  • Elias Bareinboim, PhD, Associate Professor of Computer Science
  • Itsik Pe’er, PhD, Associate Professor of Computer Science
  • Elham Azizi, PhD, Assistant Professor in Biomedical Engineering
  • Lawrence Schwartz, MD, Professor and Chairman for the Department of Radiology
  • Sarah Rossetti, RN, PhD, Assistant Professor of Biomedical Informatics and Nursing
  • Peter Canoll, MD, PhD, Professor of Pathology & Cell Biology