معرفی
Carly Bobak, PhD, serves as a Lecturer in Biomedical Data Science at Dartmouth College's Geisel School of Medicine and as a Biomedical Informatics Scientist within the Research Computing and Data Services team at Dartmouth College's Information, Technology, and Consulting department. She bridges data science with biomedical research through interdisciplinary collaborations across various disciplines.
- PhD in Quantitative Biomedical Sciences at Dartmouth College
- MS in Applied Mathematics from the University of Guelph
- BA in Applied Mathematics and Statistics from the University of Guelph
Dr. Bobak's research focuses on applying advanced data science techniques to infectious disease challenges, particularly tuberculosis diagnostics and transmission. Her work integrates machine learning, network analysis, and multi-omics approaches to develop diagnostic biomarkers and understand disease dynamics. She has significant expertise in historical epidemiology and has increasingly incorporated generative AI methodologies into her research portfolio, demonstrating innovation in computational approaches to healthcare challenges.
Her publication record reveals a strong trajectory in applying sophisticated data analysis techniques to biomedical problems, with recent work emphasizing Bayesian network analysis, synthetic data generation, and multi-cohort validation studies. The research spans infectious disease diagnostics, healthcare network analysis, and AI applications in medicine, reflecting both depth in tuberculosis research and breadth across multiple healthcare domains including oncology and respiratory medicine.
Dr. Bobak actively contributes to academic instruction through Dartmouth's Quantitative Biomedical Sciences program, teaching foundational data science courses while simultaneously supporting faculty research through the Research Computing and Data Services team. Her dual role positions her at the critical intersection of academic training and practical research support, facilitating the translation of advanced computational methods into biomedical discovery.
