Our team consists of post-docs, students, research scientists, and clinical collaborators. For information about how to join us, see the contact us section.

Uri Shalit, PI

I am a senior lecturer (assistant professor) at the Technion – Israel Institute of Technology.

My research has two themes:

The first is applying machine learning to the field of healthcare, especially in terms of providing physicians with decision support tools based on big health data.

The second is the intersection of machine learning and causal inference, with a focus on using deep-learning methods for causal inference. You can see the tutorial we gave at ICML 2016 here.

You can also hear me discuss my research (in Hebrew) on the Unsupervised Podcast.

Previously, I was a postdoctoral researcher in Prof. David Sontag’s Clinical Machine Learning Lab in NYU and then MIT. I completed my PhD studies at the School of Computer Science & Engineering at The Hebrew University of Jerusalem, under the guidance of Prof. Gal Chechik and Prof. Daphna Weinshall. From 2011 to 2014 I was a recipient of Google’s European Fellowship in Machine Learning.


Lab Members



  Neta Ravid





  Tom Ron

   PhD. student



  Daniel Greenfeld

   PhD. student




  Rom Gutman

   PhD. student



  Ori Linial

  PhD. student



Bar Eini-Porat

  PhD. student



  Tom Beer

   M.Sc. student



Shimon Sheiba

   M.Sc. student



  Ayala Dente-Byron

  Research affiliate


Research Collaborators

Danny Eytan MD PhD. Pediatric Critical Care Unit, Rambam Healthcare Campus
Assistant Professor, Faculty of Medicine, Technion
Oren Caspi Head of the Advanced Heart Failure Program, Rambam Healthcare Campus
Principal Investigator, Faculty of Medicine, Technion
Doron Aronson Director of the Cardiac Intermediate Care Unit at Rambam Medical Center
Patrick Burauel Research Associate at the German Institute for Economic Research (DIW Berlin)