Lab Members

Dr. Itai Dattner

Head of SciML Lab

Dr. Itai Dattner leads the SciML Research Lab, bringing two decades of expertise in business, data science, and AI into the academic sphere as a Senior Lecturer at the University of Haifa’s Department of Statistics. His research focuses on theoretical and applied aspects of dynamical systems, fostering an interdisciplinary approach through SciML. At the onset of COVID-19, Dr. Dattner was instrumental in Israel’s analytical response, contributing his statistical acumen to the national preparedness and response strategy.

Dr. David Shulman

Post Doctoral Researcher

David holds a PhD in Physical Engineering and have a strong background in data science, coupled with advanced analytical skills and experience in research and development. He has a proven track record of building successful projects in the areas of machine learning, image processing, and deep learning. His expertise has also led to several publications in the field of exact sciences.
As a self-motivated and quick learner, David is eager to apply his multidisciplinary knowledge and skills to tackle challenging R&D problems in a technology-oriented roles.

Aleksandr Laskorunskyi

PhD student

Alex pursued higher education at Haifa University, earning an M.A. degree in Statistics and is currently working toward a PhD in Statistics, focusing on the thesis titled “Model Selection for Systems of Ordinary Differential Equations.” Concurrently, he is employed as a data scientist, responsible for constructing a comprehensive data pipeline, encompassing data architecture, modeling, and visualization. This pipeline transforms vast textual data from 35+ million medical articles into dynamic dashboards, offering valuable insights to stakeholders. Alex has co-authored a paper under peer review in collaboration with the Department of Psychology.

Tamar Gershoni

M.Sc. Student

Tamar Gershoni is a clinical data analyst and statistician with a strong background in the medical field, previously working as a registered nurse and gaining expertise in clinical research methodologies. She holds a Master’s degree in Nursing, with a thesis, and a Bachelor’s degree in Statistics from the University of Haifa. Tamar has co-authored three peer-reviewed articles, serving as the first author on two of them. Currently, she works as a clinical data analyst in the biostatistics department of a medical device company. She has extensive experience applying statistical models to identify patterns, relationships, and trends, providing insights for decision-making. Her current research focuses on the “Development of a Physics-Guided Machine Learning Model for Optimizing Ultrafiltration Rates in Hemodialysis Patients.”