Meet the Team
Dr. Dan Yamin
Head of Lab
Dr. Yamin (PhD) is a faculty member at the department of Industrial Engineering at Tel Aviv University, and a former faculty member in the Center of Infectious Disease Modeling and Analysis, in the school of public health at Yale University. Dr. Yamin develops novel infectious disease models by integrating to his research various topics including Applied Probability, Dynamic Modeling, Markov Modeling, Game Theory and Network Science. He published 17 scientific papers in top ranking multidisciplinary- and General Medicine- journals, and received four research prizes awards and three teaching prizes awards. Dr. Yamin’s studies contributed to impact health policy against influenza in Israel, offered novel strategies to eliminate Ebola in the recent outbreak that were implemented in Liberia, and recently developed a model offering new vaccination strategies against Respiratory Scenically Virus (RSV) that is currently being examined by world leading vaccination companies. Dr. Yamin supervised 14 graduate students, and consulted to two leading vaccination companies, Sanofi Pasteur MSD and Merck, on infectious disease modeling.
Dr. Omer Tzuk is a postdoctoral fellow in the Department of Industrial Engineering at Tel-Aviv University. He earned a B.Sc. degree in Astronomy at the University of Bologna, in Italy. He continued to an M.Sc. degree in Astronomy and Astrophysics at the University of Amsterdam in the Netherlands, following the Gravitation, Astro- and Particle Physics track. Omer started his Ph.D. research at the Department of Physics at Ben-Gurion University, in Israel. During his Ph.D., Omer explored various phenomena in complex systems, in particular, modeling of dryland ecosystems, their dynamics far from equilibrium, the effect of spatial structure on the system’s behavior, and exploring the influence of seasonality over the spatial and temporal dynamics of the ecosystem.
Omer explore models that couple epidemics and opinion dynamics that spread on social networks, in combination with Machine Learning techniques on Big Data, to optimize the vaccination policy against influenza.
Omer is an avid reader, with interests ranging from philosophy and psychology to evolutionary dynamics and studies of sociocultural evolution.
Ronen Mansuri is a Ph.D. candidate in the department of Industrial Engineering at Tel-Aviv University. He earned a B.A degree with honors in Statistics & Political Sciences from the Hebrew University in Jerusalem and a MBA degree with honors in Operations Research & Marketing from Tel Aviv University.
Ronen is a Senior Researcher in the Big Data LAB and managing the Personalized Medicine protect for “Early diagnosis of infectious diseases through the combined use of Electronic Medical Records and behavioural information from mobile phones and wearable devices”.
Ronen has vast of experience in Clinical Development and Data Analytics, in his last position he was Vice President of Clinical Operations & Biometrics at Galmed Pharmaceuticals and previously, he worked 12 years for Teva Pharmaceuticals and in his last role he was the Clinical Data Officer, heading the Global Clinical Data Programming group and responsible for the data acquiring, data management, exploration, analyzing, modeling and reporting of all clinical trials in the company.
Roy Lothan is a graduate Industrial Engineering and Management student at Tel Aviv University, specializing in Business Analytics. Roy is also a teaching assistant for stochastic models in Operations Research, for which he won the Rector’s Award for Excellence in Teaching. In addition, Roy has qualified for the Dean’s List for his achievements in his third year of his bachelor’s degree studies.
Roy’s research focuses on using infectious disease modeling for malware detection in mobile devices. The research includes the identification of mobile devices with a high risk of becoming infected, and the development of a dynamic classifier for malware detection.
Roy is currently working as a Product Analyst at Intel’s Advanced Analytics team, and uses business and data analysis to provide personalized product recommendations as well as translating critical business problems into Machine Learning, Big Data and Data Mining solutions. In his military service, Roy was responsible for knowledge management of the “Iron Dome” defense system, playing an instrumental role in the war management of “Iron Dome” in various operations.