I am an interdisciplinary researcher with academic and industry experience in data science, integrating methods from electrical engineering and physics. I earned my Ph.D. in Physics from Bar-Ilan University in 2018, focusing on network science under Prof. Shlomo Havlin. From 2022-2025, I worked as a research associate at Yale School of Medicine, studying gene regulatory networks and tissue biology

Dr. Haddad Guez is a molecular and cellular biologist with more than ten years of hands‑on research experience. She earned her Ph.D. in Structural Biology from Bar‑Ilan University after completing an MSc in Biological Chemistry at the Hebrew University and a BSc in Biology (summa cum laude) at the Technion. Skilled in designing and executing complex experiments, she now serves as our lab manager, overseeing daily operations and driving our experimental agenda forward.

Fellipe Aranha is a Ph.D. student in Physics at Bar-Ilan University, conducting research at the Institute of Advanced Technology and the Faculty of Engineering. He also collaborates with the Center and Laboratory for Simulation of Complex Systems, Brazil. His work explores phase transitions and critical phenomena in biological and social systems using network science and statistical physics. Fellipe holds an M.Sc. in Systems Engineering and a B.Sc. in Materials Physics from Universidade de Pernambuco.

Porat Hanani is a Ph.D. student in Bioengineering at the Faculty of Engineering, Bar-Ilan University. His research applies computational and data-driven methods to study microbiome dynamics and aging. He holds an M.Sc. in Biotechnology (magna cum laude) and a B.Sc. in Agricultural Biotechnology from the Hebrew University of Jerusalem, with experience in molecular biology and genetic engineering. Before his Ph.D., he worked as an R&D scientist specializing in biomedical data analysis and machine learning.

Yongjian He is a visiting Ph.D. student in the Faculty of Engineering at Bar-Ilan University, originally from Beijing Normal University. He utilizes network science and machine learning to investigate biological systems, particularly gene regulatory networks and the aging process, by training deep-learning models to identify high-impact genes from single-cell RNA-sequence data. He holds a bachelor's degree in computer science from Zhengzhou University of Aeronautics, China and a master's in Data Science from Dalian Minzu University, China.

Gal Levy is an M.Sc. student in Electrical Engineering at Bar-Ilan University. His research aims to reveal the connections between diverse diseases by analyzing genotype and phenotype data using advanced statistical and machine learning techniques. He holds a B.Sc. in Computational Biology from Bar-Ilan University. In addition to his academic pursuits, he works as a Machine Learning Engineer in the tech industry.

Nechama Ehrman is an M.Sc. student in Bioengineering at Bar-Ilan University. She holds a B.Sc. in Bioinformatics from the Jerusalem College of Technology (Lev Academic Center), where she completed an honors research project in collaboration with Shaare Zedek Medical Center and The Hebrew University. Her undergraduate research focused on investigating the molecular mechanisms of resistance to the anti-cancer therapies Irinotecan and Deruxtecan in colorectal cancer using RNA sequencing and computational analysis.

Tsofiya Perel is an M.Sc. student in Bioengineering at Bar-Ilan University. Her research focuses on developing computational approaches for disease classification based on gut microbiome composition. She holds a B.Sc. in Bioinformatics from the Lev Academic Center (Machon Tal), where she graduated with distinction. During her undergraduate studies, she collaborated with Rambam Medical Center on a project developing computational tools to analyze gut microbiome data for optimizing chemotherapy.

Dr. Huan Zhu is a postdoctoral fellow at Bar-Ilan University, supervised by Prof. Shlomo Havlin (Physics) and Dr. Orr Levy (Engineering). His research explores phase transitions and critical phenomena in power grids, bridging the fields of network science, percolation theory, and power flow dynamics. He earned his Ph.D. in Systems Theory from Beijing Normal University and holds an M.S. in Applied Statistics from Wuhan University of Technology, as well as a B.S. in Business Administration from Hankou College.