Project 14: Development and application of causal inference methods to high dimensional healthcare data

Vesna Resende Barros

IBM Research – Haifa, Israel
Advisors: Michal Rosen-Zvi and Tal El-Hay

Project description

Will follow.


  1. Causal inference at population-scale using kernel methods
    Host: Max Planck Institute for Intelligent Systems
    Planned date: February 2021 – April 2021
  2. Improving disease-network discovery through causality discovery
    Host: Université de Paris
    Planned date: March 2022 – May 2022


Michal Chorev, Yoel Shoshan, Adam Spiro, Shaked Naor, Alon Hazan, Vesna Barros, Iuliana Weinstein, Esma Herzel, Varda Shalev, Michal Guind, and Michal Rosen-Zvi. (2020). The Case of Missed Cancers: Applying AI as a Radiologist’s Safety Net. In: Martel A.L. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. MICCAI 2020. Lecture Notes in Computer Science, vol 12266. Springer, Cham.