©2019  Predictive Medicine Group

DAPHNA KEIDAR

Daphna's work at PredMed is focused on enhancing predictive modeling of individual clinical risk based on data-driven Family History information. 

 

Prior to joining PredMed, Daphna conducted research under Jeff Lichtman at Harvard University, statistically analysing neural synapse datasets. Daphna has also worked as an Algorithms Developer at Mobileye, where she was part of a team that creates maps from crowd-sourced data.

Daphna is currently pursuing a Masters degree in Data Science at ETH Zurich. She received her BSc (Magna cum laude) in Mathematics and Cognitive Sciences from the Hebrew University of Jerusalem. Her Bachelor's thesis deals with sampling combinatorial objects using Markov Chain based algorithms.

RESEARCH INTERESTS

 

Predictive Modeling, Health informatics.