TEAM MEMBERS

Dan Yamin
Associate Professor
&
Head of Laboratory
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.

Talish Raz
Ph.D. candidate in Industrial Engineering and Management at Tel Aviv University
Talish Razi is a Ph.D. candidate in Industrial Engineering and Management at Tel Aviv University. Her research focuses on pregnancy and perinatal outcomes, integrating analytical and public health approaches to improve maternal and neonatal care. Through her work, Talish aims to generate insights that directly inform and influence health policy.
She holds a bachelor’s degree in Economics and Business Administration and a master’s degree in Public Health, equipping her with a multidisciplinary foundation to tackle complex healthcare challenges. In parallel with her academic work, Talish serves as a general analyst in the Medical Division at Clalit Health Services, where she contributes to data-driven projects that support clinical decision-making and strategic planning.
Talish is passionate about leveraging interdisciplinary methods to address health disparities, identify early-life risk factors, and optimize healthcare delivery. Her research is grounded in real-world data and is designed to drive meaningful improvements in public health policy and practice.

Yarden Cohen
MS.c Student,
Data Scientist Researcher
Yarden Cohen holds a BSc in Data Science from Tel Aviv University and is currently pursuing his MSc in Industrial Engineering with a specialization in Data Science and AI. His industry experience includes work as a data analyst in the digital health sector, where he applies machine learning and computer vision techniques to model movement and cognitive patterns in patients with neurological disorders such as Parkinson’s disease and post-stroke impairments.
His undergraduate capstone project focused on predicting back pain location and intensity in pilots using thermal imaging and advanced machine learning techniques. Yarden also participated in the honors Computational Science program at the Weizmann Institute, where he developed neural network models for medical diagnostics.

Shahar Snir
MS.c Student,
Data Scientist Researcher
Shahar Snir is currently pursuing his MSc in Industrial Engineering and Management at Tel Aviv University through the Direct Excellence Program. His research at the DEHA Lab focuses on data science applications related to cancer analysis.
Before joining the lab, Shahar served as an officer in the Israeli Defense Forces. Outside of his academic work, he enjoys surfing and training at the gym.

Bar Zelig
MS.c Student,
Data Scientist Researcher
Bar Zelig is an Industrial Engineering student on a direct MSc track for outstanding students at Tel Aviv University. He was part of a national excellence program for outstanding students from the Israeli periphery.
Bar gained experience in data analysis during his military service in human resources, as well as through his work in sales analytics at a major telecommunications company. His main areas of interest include data analytics and optimization.

Edan Shahmoon
MS.c Student,
Data Scientist Researcher
Edan Shahmoon 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.

Natali Tamir
Visual Communication Specialist, Research Designer
Natali Tamir holds a BA in Visual Communication and has extensive experience in interactive design. She previously served as Head of the Visual Communication Track at Cavim College and worked as an interactive designer at the Curiosity Lab, Tel Aviv University, where she specialized in crafting impactful digital experiences through website design, branding, and user experience enhancement.
At the DEHA Lab, Natali leads the visual communication and content design for the lab’s research framework. She designs and develops visual materials supporting the lab’s research, communication, and participant engagement, including projects under the European Research Council (ERC).
She is also skilled in customer retention strategies, video editing, and social media content creation, contributing to the lab’s outreach and wellbeing initiatives.
Our Alumni continue to lead research, industry, and innovation worldwide

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

Yosi Levi
Ph.D. Student,
Data Scientist Researcher
Yosi Levi 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.

Shani Yorav
MS.c Student,
Data Scientist Researcher
Shani Yorav 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.

Shachar Snir
MSc Student,
Data Scientist Researcher
Shachar Snir 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.

Ilan Vasilevsky
MSc Student,
Data Scientist Researcher
Ilan Vasilevsky 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..
The following alumni have contributed to DEHA Lab’s research and development throughout the years, advancing studies in digital epidemiology, data science, and public health.
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Roy Lothan (M.Sc.), 2017-2019 | Dissertation: Game-theoretic model for HCV treatme | linkedin
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Noa Hofer (M.Sc.), 2016-2019 | Dissertation: Optimizing HCV screening and treatment policy.
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Ofir Magadaci (M.Sc.), 2017-2019 | Dissertation: Modeling debate dynamics of political marketing on social media
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Amir Yavneh (M.Sc.), 2016-2019 | Dissertation: Co-similar malware infection patterns as a predictor of future risk | linkedin
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Adir Shaham (M.Sc.), 2016-2019 | Dissertation: Personal and social patterns predict influenza vaccination decision
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Yogev Matalon (M.Sc.), 2017-2019 | Dissertation: Transformation of Tweets' sentiment in political communication; the inverted opinion phenomenon
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Yotam Deri (M.Sc.), from 2021 with Prof. Irad Ben-Gal | Dissertation: Optimizing lockdowns against pandemics | linkedin
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Tomer Brades (M.Sc.), from 2021 with Prof. Gadi Fibich | Dissertation: Mathematical approach to optimize vaccination allocation
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Dean Langsam (M.Sc.), 2016-2018, with Dr. Erez Shmueli | Dissertation: Modeling transmission dynamics and optimizing vaccination schedule of pertussis in Israel
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Dor Kahana (M.Sc.), 2016-2019 | Dissertation: Accounting for the spread of vaccination behavior to optimize influenza vaccination programs | linkedin


