Meet the Becevic Telehealth Lab Team

Mateen is a computer science doctoral student at the University of Missouri, Columbia. His research interest is in the application of machine learning and deep learning models to healthcare data. He is also a member of the scalable data science laboratory at Mizzou. Mateen presently works as a graduate research assistant where he applies deep learning models for skin lesion analysis.

Jeffrey is a PhD student in Data Science and Informatics at the University of Missouri (MUIDSI). His work focuses on applying machine learning, natural language processing, and geospatial modeling to advance telehealth access and evaluation. Jeffrey’s current projects explore AI-driven dermatology and mental health support tools and predictive analytics for rural telehealth programs. With a background in Engineering and Applied Economics and a certification in Project Management (PMP), he is passionate about translating data into solutions that make healthcare more equitable, efficient, and human-centered.

Parthaw is a Ph.D. student in Computer Science at the University of Missouri, Columbia. His research interests include federated learning, data privacy, computer vision, and applied machine learning for healthcare systems. Beyond his research, he enjoys exploring interdisciplinary ideas, building impactful solutions, and engaging in collaborative projects that bridge theory with real-world applications.

Deepika is a health informatics doctoral student at the University of Missouri Institute for Data Science and Informatics (MUIDSI). She completed her master’s degree in health informatics and health administration at the University of Missouri in 2018. Deepika studies expansion and policy changes related to telemedicine during and after the COVID-19 pandemic. She also works full time as a senior business intelligence analyst for the university. She previously served in various positions at the University of Missouri with Missouri Telehealth Network and the Department of Family and Community Medicine.

Dr. Liu began her career as a physician specializing in Physical Medicine and Rehabilitation in Beijing. She came to Mizzou in 2000, where she earned her master’s degree. Following her graduation, she worked in the Department of Nutrition and Exercise Physiology as a clinical researcher, studying how nutrition and physical activity influence the prevention and treatment of lifestyle-related diseases. In early 2024, Ying joined the Department of Family and Community Medicine as a practice facilitator. In this role, she was dedicated to improving colorectal cancer screening rates in rural Missouri communities.

Erfan is a PhD student at the University of Missouri, Columbia Institute for Data Science and Informatics (MUIDSI). He earned his Bachelor’s degree at Sharif University and his Master’s at the University of Missouri, Columbia. In his current role, Erfan investigates applications of large language models and generative AI in health informatics to drive insights. His previous research focused on vVirus spread in wetlands using image‐processing techniques to track pathogen transport, simulation of particle‐cloud behavior in fluids via CFD and image analysis, built a unified DataFrame of block‐ and tract‐level U.S. data and leveraged LLMs to uncover features of user‐defined problems (remote sensing, satellite imagery processing, ArcGIS), developed spatial models and risk maps of chronic wasting disease in Kansas using remote sensing and Bayesian methods, assessed heavy metal exposure as a breast cancer risk factor: coordinated with the DNR for data acquisition and using travel time estimates calculated with Dijkstra’s algorithm to analyze health disparities and environmental factors. With a passion for data science and informatics, Erfan is committed to collaborating closely with his University of Missouri team and advancing AI driven solutions in health and research.