Members
2021
Authors
Data (fault)
Book Title
Authors
Data (fault)
Book Title
PI – Ran Gilad-Bachrach
Prof. Ran Gilad-Bachrach has been conducting research in machine learning for over 25 years. He currently serves as an Associate Professor of Biomedical Engineering at Tel Aviv University and as the Principal Investigator of the MLwell Lab. Additionally, Prof. Gilad-Bachrach is Head of the Digital Sciences for Hi-Tech Program, Director of the National Knowledge Center for Artificial Intelligence Policy, and Director of the Zimin Institute at Tel Aviv University.
Prof. Gilad-Bachrach earned his Ph.D. from the Hebrew University of Jerusalem under the supervision of Prof. Naftali Tishby. Prior to his current positions, he held several roles in industry, including leading a research group at Intel Research and serving as a Principal Researcher at Microsoft Research.
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
working on measuring chorea measurments (co-supervised with with Prof. Jeff Hausdorff)
Dafna Schwartz
Ph.D. student
Working on time series analysis
Yarin Udi
Ph.D. student
Working on analysis of breast cancer data from multiple modalities
Ohad Doron
Grad student
Working on data quality
Irena Girshovitz
Ph.D. student
Working on finding risk factors for cancer
Yuval Zehavi
Grad student
Working on gait analysis
Idan Barnea
Grad student
Working on identifying elderly person at risk of falling
Moriya Levy
Grad student
Identifying risk factors for cognitive decline in cancer patients
Almog Alfamon
Grad student
working on electronic medical records analysis
Noga Mudrik
Grad student
studying the consequences of deep-fake (co-supervised with Prof. Karine Nahon)
Dr. Dalit Ken Dror Feldman
Postdoctorate student
The legal foundations of Explainability in ML (co-supervised with Prof. Niva Elkin-Koren)
Hofit Wasserman Rozen
Ph.D. student, Adv.
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
Ph.D. student
Foundation models for particle physics
Ori Fogel
Ph.D. student
Working on finding risk factors for food alergies
Noreen Abdelkader
Grad student
Manages projects in the lab
Shira Shohet
Project Management
Working on artificial intelligence tools for measurement of symptoms severity of Huntigton's disease
Neta Biran
Grad student
Prediction of treatment for contagious diseases using ML models (co-supervised with Prof. Uri Obolski)
Tali Goldman
Ph.D. student
Doing a project on biological applications for new GNN methods
Maor Hury
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 personalized mental preparedness exercises (2024)
Chaya Ben Yehuda
Grad student
algorithms for detecting unknown sub-types of disease (2020)
Mor Zukin
Undergrad student
Long term effects of COVID19 in children (2022)
Ariel Zohar Taganski
Undergrad student
Cognitive deterioration detection from texts in social media (2024)
Hagar Rosenblatt
Grad student
Long term effects of COVID 19 on children with CLALIT (2022)
Adir Leibovich
Undergrad student
Working on early prediction neurodevelopment disorders
Ido Altshuller
Undergrad student
The connection between different characteristics and the risk of developing food allergy among children (2023)
Daniel Sarusi
Undergrad student
The relation between combined estrogen-progestin oral contraceptives (COCS) to dyslipidemia and cardiovascular diseases (CVD) (2023)
Lotan Hacohen
Undergrad student
The connection between different characteristics and the risk of developing food allergy among children (2023)
Neta Biran
Undergrad student
Working on Generalized Additive Models (2024)
Ela Akerman
Undergrad student
The Influence of Personality Traits and Emotions on Blood Glucose Levels Among People with Type1 Diabetes Mellitus (2021)
Gon Shoham
Grad student
Fall risk score for senior citizens (2024)
Belle Kriger
Grad student
Connecting artificial and biological neural networks (2022)
Shachar Dascalu
Grad student
Robust Model Compression Using Deep Hypotheses (2020)
Omri Armstrong
Grad student
Prediction of sodium and calcium levels in the urine based on a single sample (2022)
Noa Safra
Undergrad student
Prediction of stressful events moments for just-in-time intervention (2024)
Yarin Udi
Grad student
Feature importance for local instances, along with birth induction data analytics to predict delivery mode (co-supervised with Dr. Uri Obolski) (2024)
Nimrod Harel
Grad student
Early prediction neurodevelopment disorders (2022)
Ariel Shtangel
Undergrad student
The relation between combined estrogen-progestin oral contraceptives (COCS) to dyslipidemia and cardiovascular diseases (CVD) (2023)
Yuval Reingold
Undergrad student
"Yes I Cane". Developing an alternative type of mobility assistance device, which can be customized as all-in-one device (2023)
Yuval Argoetti
Undergrad student
Working on Generalized Additive Models (2024)
Shay Orovan
Undergrad student