Tomer
Cohen

Tomer Cohen is a computational biologist and PhD candidate. His research aims to improve our understanding of how antibodies, which are proteins used by the immune system to neutralize pathogens, interact with their targets. To achieve this, he uses tools like deep neural networks, a type of machine learning, to develop accurate computational models. Tomer aims to enhance the accuracy of predicting antibody interactions, which is crucial for designing new and effective therapeutics.

Tomer aims to enhance the accuracy of predicting antibody interactions, which is crucial for designing new and effective therapeutics.

Tomer earned his BSc and MSc in computer science and computational biology from The Hebrew University of Jerusalem. Originally from the small moshav of Alon HaGalil, he now lives in Tel Aviv. Tomer served as a combat soldier and commander in the Meitar unit of the IDF. He enjoys hiking, especially multi-day treks abroad, and has explored Nepal, New Zealand, and Kyrgyzstan, among other places. In his free time, Tomer also likes running and cooking for family and friends.