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TEAM MEMBERS

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Dan Yamin

Associate Professor

&
Head of Laboratory

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Prof. Dan Yamin, Ph.D., is a faculty member in the Department of Industrial Engineering at Tel Aviv University, where he directs the Laboratory for Digital Epidemiology and Health Analytics (DEHA). He also co-founded and serves as Chief Science Officer at Wizermed LTD, applying his expertise to healthcare innovation. His academic roles include a visiting faculty position at Stanford's Management Science and Engineering department and a research faculty stint at Yale University's School of Public Health. Prof. Yamin's research, focused on infectious disease analysis, aims to arm public health decision-makers with sophisticated, data-driven models and complex system insights. His work has earned him four research awards and six teaching excellence prizes. Notably, his research has shaped influenza health policy in Israel and developed effective Ebola containment strategies in Liberia. Awarded a European Research Council (ERC) grant, Prof. Yamin is currently exploring the early detection of infectious diseases through smartwatch technology. He has advised Israel's Ministry of Health and Ministry of Finance on identifying and addressing COVID-19 hotspots, demonstrating his commitment to public health and policy.  

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Matan Yechezkel

Ph.D. candidate in Industrial Engineering and Management at Tel Aviv University.

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Matan Yechezkel is a Ph.D. candidate in Industrial Engineering and Management at Tel Aviv University. His research primarily focuses on integrating transmission models with machine learning for enhanced diagnostic and treatment strategies, alongside conducting comprehensive analyses of electronic medical records using Big Data techniques. Matan's work has significantly contributed to shaping public health policies, as demonstrated by his publications in esteemed journals. Recognized for his achievements, Matan has been awarded the Rector's scholarship for excellence in research and the prestigious Prof. Rahamimoff Travel Grant for Young Scientists from the US-Israel Binational Science Foundation (BSF).
In addition to his research commitments, Matan actively engages in teaching roles at the university and has been distinguished with an outstanding lecturer certificate. Moreover, Matan has undertaken visiting research positions at renowned institutions, including Stanford University and Texas A&M University, where he collaborated on pioneering projects. These experiences underscore his dedication to exploring innovative approaches in addressing global health challenges.

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Efrat Levy

MS.c Student,

Data Scientist Researcher

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Efrat holds a BSc in Industrial Engineering and Management and is currently pursuing her MSc in Industrial Engineering as part of the Direct Excellence program at Tel-Aviv University. Moreover, she has a BSc in life science from Ben-Gurion University, where she achieved outstanding distinction. Efrat's professional experience encompasses roles as a Project Analyst, along with her service in the 8200-intelligence unit of the IDF.

 

As a Data Scientist Researcher at the Laboratory for Digital Epidemics and Health Analysis (DEHA Lab), Efrat is currently leading a unique and innovative research that predicts epileptic seizures using data from smartwatches and behavioral information from mobile phones. Her work involves the examination of extensive medical data through diverse statistical methods and time series analysis. The objective is to provide meaningful insights for individuals grappling with drug-resistant epilepsy and their caregivers.

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Yosi Levi

Ph.D. Student,

Data Scientist Researcher

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Yosi holds a BSc and MSc in Mechanical Engineering and presently pursuing his PhD in Industrial Engineering. His professional background includes roles as a Data Scientist specialist in anomaly detection and developing predictive models. 

 

As a Data Scientist researcher at the Laboratory for Epidemics Modeling and Analysis (DEHA LAB), Yosi’s research is engaged in developing machine learning models for the early detection of infectious diseases, prediction and detection of side effects severity following vaccinations, and examination the duration of recovery from infectious diseases using smartwatches and patient self-reporting data. His work involves analyzing large-scale medical data and aims to offer valuable insights for shaping proactive public health strategies and enhancing our understanding of infectious diseases.

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Shani Yorav

MS.c Student,

Data Scientist Researcher

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Shani holds a BSc in Industrial Engineering and Management and is currently pursuing her MSc in Industrial Engineering through the direct track for excellent students. She has previous experience as a data analyst and a project manager as part of her service in the 8200-intelligence unit, IDF.

 

Research assistant at the Laboratory for Epidemics Modeling and Analysis (DEHA LAB), studying the efficiency of flu vaccines in preventing respiratory disease exacerbations. Her work involves analyzing large-scale medical datasets to develop predictive models, aiming to contribute valuable insights to public health policy.

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Edan Shahmoon

MS.c Student,

Data Scientist Researcher

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Edan has over 6 years of experience in turning data into insights. He earned a BSc in Industrial Engineering and Management and is currently pursuing his MSc in Industrial Engineering. His professional background includes roles as a Research Assistant at Berglas School of Economics, a DevOps engineer at Hewlett Packard Enterprise (HPE) and as a Data Scientist in the field of predictive maintenance. 

 

As a Research Assistant at the Laboratory for Epidemics Modeling and Analysis (DEHA Lab), Edan is currently researching the utilization of wearable sensors for improving several public health procedures.

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Shachar Snir

MSc Student,

Data Scientist Researcher

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Shachar holds a BSc in Industrial Engineering and Management and presently pursuing her MSc in Industrial Engineering through the Direct Excellence program at TAU. Her professional background includes roles as a Data Analyst specialist in anomaly and fraud detection. 

 

As a Data Scientist researcher at the Laboratory for Epidemics Modeling and Analysis (DEHA LAB). Shachar is currently engaged in researching the Digital Signature of Infectious Diseases and Patient Behavior Using Smartwatches and Patient Self-Reporting. Her work involves analyzing large-scale medical data aims to offer valuable insights for shaping proactive public health strategies and enhancing our understanding of infectious diseases.

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Ilan Vasilevsky

MSc Student,

Data Scientist Researcher

  • LinkedIn

Ilan holds a BSc in Industrial Engineering and Management and presently pursuing his MSc in Industrial Engineering through the Direct Excellence program at TAU.

Ilan, serving as a Data Scientist Researcher at the Laboratory for Digital Epidemics and Health Analysis (DEHA Lab), is actively engaged in a study focused on forecasting migraine attacks. His research utilizes physiological data extracted from smartwatches, as well as behivoral information gathered through human input..

ALUMNI

  1. Roy Lotan 

  2. Noa Hofer

  3. Ofir Magadaci 

  4. Amir Yavneh 

  5. Adir Shaham 

  6. Yogev Matalon 

  7. Dean Langsam 

  8. Yotam Deri

  9. Tomer Brandes

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