Members
2021
Authors
Data (fault)
Book Title
Authors
Data (fault)
Book Title
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.
Our Team
working on theory and algorithms of Graph Neural Networks and Graph ML (co-supervised with Prof. Amir Globerson)
Maya Bechler-Speicher
Ph.D. student
studying the consequences of deep-fake (co-supervised with Prof. Karine Nahon)
Dr. Dalit Ken Dror Feldman
Postdoctorate student
working on an algorithm for personalized mental preparedness exercises
Chaya Ben Yehuda
Grad student
The legal foundations of Explainability in ML (co-supervised with Prof. Niva Elkin-Koren)
Hofit Wasserman Rozen
Ph.D. student, Adv.
Working on prediction of stressful events moments for just-in-time intervention
Yarin Udi
Grad student
Working on analysis of breast cancer data from multiple modalities
Ohad Doron
Grad student
Working on the relation between combined estrogen-progestin oral contraceptives (COCS) to dyslipidemia and cardiovascular diseases (CVD)
Yuval Reingold
Undergrad student
"Yes I Cane". Developing an alternative type of mobility assistance device, which can be customized as all-in-one device
Yuval Argoetti
Undergrad student
working on electronic medical records analysis
Noga Mudrik
Grad student
working on fall risk score for senior citizens
Belle Kriger
Grad student
working on measuring chorea measurments (co-supervised with with Prof. Jeff Hausdorff)
Dafna Schwartz
Ph.D. student
Working on cognitive deterioration detection from texts in social media
Hagar Rosenblatt
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
Grad student
Working on the connection between different characteristics and the risk of developing food allergy among children
Daniel Sarusi
Undergrad student
Working on the relation between combined estrogen-progestin oral contraceptives (COCS) to dyslipidemia and cardiovascular diseases (CVD)
Lotan Hacohen
Undergrad student
Working on the connection between different characteristics and the risk of developing food allergy among children
Neta Biran
Undergrad student
Our Alumni
Trees with Attention for Set Prediction Tasks (2021)
Roy Hirsch
Grad student
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
Amnon Catav
Grad student
algorithms for detecting unknown sub-types of disease (2020)
Mor Zukin
Undergrad student
working on the long term effects of COVID19 in children
Ariel Zohar Taganski
Undergrad student
Working on the long term effects of COVID 19 on children with CLALIT
Adir Leibovich
Undergrad student
Working on early prediction neurodevelopment disorders
Ariel Shtangel
Undergrad student
The Influence of Personality Traits and Emotions on Blood Glucose Levels Among People with Type1 Diabetes Mellitus (2021)
Gon Shoham
Grad student
working on deep learning
Shachar Dascalu
Grad student
Robust Model Compression Using Deep Hypotheses (2020)
Omri Armstrong
Master's degree
working on prediction of sodium and calcium levels in the urine based on a single sample
Noa Safra
Undergrad student
Working on early prediction neurodevelopment disorders
Ido Altshuller
Undergrad student