Members

PI – Ran Gilad-Bachrach

Prof. Gilad-Bachrach is conducting research in machine learning for over 20 years. After completing his Ph.D. from the Hebrew University of Jerusalem under the supervision of Prof. Naftali Tishby, Ran joined Intel Research to lead a machine learning research team. Later, Ran joined Microsoft, first, as an applied researcher in Bing and later as a researcher and principal researcher at Microsoft Research. Recently, Ran joined the Bio-Medical Engineering department at Tel-Aviv University as an Associate Professor.

Ran Gilad Bachrach

Our Team

working on machine-learning, well-being, and bioinformatics (co-supervised with Prof. Amir Globerson)

Maya Bechler-Speicher

Roy Hirsch

Ph.D. student

studying the consequences of deep-fake (co-supervised with Prof. Karine Nahon)

Dr. Dalit Ken Dror Feldman

Roy Hirsch

Postdoctorate student

working on mental preparedness exercises

Chaya Ben Yehuda

Roy Hirsch

Grad student

working on deep learning

Shachar Dascalu

Roy Hirsch

Grad student

working on prediction of sodium and calcium levels in the urine based on a single sample

Noa Safra

Roy Hirsch

Undergrad student

Working on cognitive deterioration detection from texts in social media

Hagar Rosenblatt

Roy Hirsch

Grad student

Working on the long term effects of COVID 19 on children with CLALIT

Adir Leibovich

Roy Hirsch

Undergrad student

Working on early prediction neurodevelopment disorders

Ido Altshuller

Roy Hirsch

Undergrad student

Working on analysis of breast cancer data from multiple modalities

Ohad Doron

Roy Hirsch

Grad student

working on electronic medical records analysis

Noga Mudrik

Roy Hirsch

Grad student

working on fall risk score for senior citizens

Belle Kriger

Roy Hirsch

Grad student

working on measuring chorea measurments (co-supervised with with Prof. Jeff Hausdorff)

Dafna Schwartz

Roy Hirsch

Ph.D. student

The legal foundations of Explainability in ML (co-supervised with Prof. Niva Elkin-Koren)

Hofit Wasserman Rozen

Roy Hirsch

Ph.D. student, Adv.

working on the long term effects of COVID19 in children

Ariel Zohar Taganski

Roy Hirsch

Undergrad student

Working on prediction of stressful events moments for just-in-time intervention

Yarin Udi

Roy Hirsch

Grad student

Working on feature importance for local instances, along with birth induction data analytics to predict delivery mode (co-supervised with Dr. Uri Obolski)

Nimrod Harel

Roy Hirsch

Grad student

Working on early prediction neurodevelopment disorders

Ariel Shtangel

Roy Hirsch

Undergrad student

Our Alumni

Trees with Attention for Set Prediction Tasks (2021)

Roy Hirsch

Roy Hirsch

Grad student

Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data

Amnon Catav

Roy Hirsch

Grad student

Robust Model Compression Using Deep Hypotheses (2020)

Omri Armstrong

Roy Hirsch

Master's degree

The Influence of Personality Traits and Emotions on Blood Glucose Levels Among People with Type1 Diabetes Mellitus (2021)

Gon Shoham

Roy Hirsch

Grad student

algorithms for detecting unknown sub-types of disease (2020)

Mor Zukin

Roy Hirsch

Undergrad student