I am a PhD student in Biostatistics at the University of Texas Health Science Center at Houston. Before attending UT, I was graduated from University of Alberta with a Master’s degree in Biostatistics, and worked as a Biostatistician in Shanghai. Passionate about applying advanced statistical modeling to real-world public health challenges, my research focuses on infectious disease dynamics and probabilistic Bayesian modeling.

Nahom Worku is a PhD student in Biostatistics and Data Science at UTHealth Houston, primarily focused on infectious disease modeling. He holds dual Master’s degrees in Health Metrics Sciences and Applied & Computational Mathematics from the University of Washington. Nahom played a central role in Ethiopia’s national COVID-19 response through the Ethiopian Public Health Institute’s National Data Management Center, where he co-led scenario-based forecasting to guide policy decisions. His work integrates engineering, computational methods, and data science to simulate disease dynamics and inform public health strategies. Beyond infectious diseases, his research interests include maternal and child health, health systems analysis, and the application of statistical, numerical, machine learning, AI, and mechanistic modeling to support evidence-based decision-making in global health.

Peiqi Guo is currently pursuing a PhD in Public Health focus on Healthcare Management and Health Policy at UTHealth Houston School of Public Health. His reserach interests focus on Health Policy and System Research and Health Informatics. He also serve as a graduate research assistant in the Patient Priorities Care Lab and Bi-Lab. Peiqi received his Master of Information System Management and Master of Engineering Management at WUSTL.

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