Department of Population Health at the NYU Grossman School of Medicine
 

Anna Bershteyn is an Assistant Professor of Population Health at New York University Grossman School of Medicine. Her research focuses on mathematical modeling to inform healthcare policy decision-making, primarily around high-burden infectious diseases. She previously led the HIV and tuberculosis modeling team at the Institute for Disease Modeling, now part of the Bill and Melinda Gates Foundation in Seattle, Washington. She holds a PhD from the Massachusetts Institute of Technology, where she studied HIV vaccine discovery.

University of Botswana
 

Ramasamy Sivasamy is currently a Professor of Statistics at the University of Botswana, where he has been teaching and conducting research since 2008.

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Prof. Sivasamy received his Ph.D. in Statistics from Annamalai University, Annamalai Nagar, India, and has held academic positions at several institutions, including Annamalai University.

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His research focuses on stochastic processes and their applications relevant to industrial engineering and operations research. Specific topics include discrete and continuous time Markov chains, the Poisson process and its variants, renewal and Markov-renewal theory, regenerative and Markov-regenerative processes, Brownian motion and martingales

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Prof. Sivasamy is a life member of the International Biometric Society (IBS), the Indian Science Congress Association, and the  Indian Society for Probability and Statistics. 

Department of Computing, Mathematical & Statistical Sciences at the University of Namibia

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Samuel Nuugulu holds a PhD in Applied Mathematics (Computational Finance specialization) from the University of the Western Cape, an MSc. in Data Science from the Namibian University of Science & Technology, an MSc. in Risk Analysis, BSc. Hons. In Mathematical Statistics from the University of the Free State, as well as a BSc. in Mathematics & Statistics from the University of Namibia. He also holds several other certificates in areas of Risk Management & Development Finance, Big Data Analytics, Machine Learning, Deep Learning and Artificial Intelligence. His research focuses on among others: Econometric Analysis, Fractional Calculus and its applications to Finance, Applied & Theoretical Machine Learning and their applications.