معرفی
Vu Dinh is an Associate Professor in the Department of Mathematical Sciences at the University of Delaware. His research focuses on applied probability, statistics, phylogenetics, and machine learning. He holds a B.S. from the University of Science (Ho Chi Minh City, Vietnam), a Ph.D. from Purdue University, and completed a postdoctoral fellowship at the Fred Hutchinson Cancer Research Center. Currently on leave, he serves as a Program Director in the Mathematical Biology Program at the U.S. National Science Foundation (NSF).
Education:
- B.S., University of Science, Ho Chi Minh City, Vietnam
- Ph.D., Purdue University
- Postdoctoral Research, Fred Hutchinson Cancer Research Center
Research Interests: Dr. Dinh develops advanced statistical and computational methods, particularly next-generation Markov chain Monte Carlo (MCMC) techniques for phylogenetic inference. He also explores machine learning frameworks in applied sciences, emphasizing their theoretical underpinnings and practical applications. His work bridges computational biology, statistical theory, and algorithm design.
Publications: His recent work spans phylogenetic analysis, Bayesian methods, and machine learning. Key themes include ancestral state reconstruction, efficient MCMC algorithms, and transfer learning applications in healthcare and computational biology. These contributions highlight interdisciplinary approaches to complex biological and mathematical challenges.
Awards/Grants: While specific awards are not listed, his NSF role suggests involvement in funded research initiatives. His teaching includes courses like 'Mathematical Techniques in Data Science' and 'Statistical Methods,' reflecting his commitment to advancing quantitative education.
Labs/Teams: Collaborates with research groups in computational biology and mathematical sciences, leveraging interdisciplinary networks at UD and beyond.
