CV and press kit

A short web version of my CV, followed by bios and a headshot for media and events.

Download CV (PDF)

Positions

2026 to nowAssistant Director of Graduate Studies, Data ScienceHarvard University
2023 to 2026Assistant Professor of Mathematics (tenure track)United States Naval Academy
2022 to nowPostdoctoral fellow, then affiliated facultyPerelman School of Medicine, University of Pennsylvania
2017 to 2022Doctoral assistant, Industrial EngineeringPurdue University. Graduate researcher at the Data Science Institute, Lawrence Livermore National Laboratory, summers 2019 and 2020
2015 to 2017Graduate assistant, Engineering ManagementWestern Michigan University
2014 to 2016Program manager and planning engineerMann+Hummel and Denso

Education

2022Ph.D., Industrial Engineering, Purdue UniversityDissertation: On geometric and algebraic properties of human brain functional networks
2022Graduate Certificate, Teaching and Learning in Engineering, Purdue University
2017Master’s, Industrial Engineering, Western Michigan UniversityThesis: Revisiting the one-sided exponentially weighted moving average control chart design
2014Bachelor’s, Industrial Engineering (Operations Research), Western Michigan University
2014Bachelor’s, Mathematics (Graph Theory), Western Michigan University

Selected honors

Paper awards are listed on the home page.

2022Outstanding Service Scholarship Award, School of Industrial Engineering, Purdue University
2019Estus H. and Vashti L. Magoon Excellence for Teaching Award, Purdue University
2017Ross Doctorate Research Fellowship, Purdue College of Engineering
2017Outstanding Graduate Student Award, Western Michigan University
2014Top 5 Undergraduate Seniors in Industrial Engineering, Western Michigan University

Selected invited talks

2024“Out of Many, One”: the American motto from a neuroscience perspectiveU.S. Consulate, Saigon, Vietnam
2023The human brain as viewed through the lenses of mathematicsVinUniversity, Hanoi, and Children’s National Hospital, Washington, DC
2023On recent advancement of SPD matrix analyses in brain networksUniversity of Nevada
2023On topological, geometric and statistical properties of human brain functional networksUniversity of Maryland, College Park
2022When machine learning meets the brain: the dawn of Neuro-AIFPT Software, Saigon, Vietnam
2022Engineering education: how to build an engineering major in a liberal arts collegeFulbright University Vietnam

Press kit

Free to use for media and event programs. Please keep the name and title as written.

Download high-resolution headshot

Short bio

Duy Duong-Tran, Ph.D., is Assistant Director of Graduate Studies in Data Science at Harvard University and affiliated faculty at the Perelman School of Medicine, University of Pennsylvania. His research connects network neuroscience, biomedical AI and mathematical modeling. He previously served as an assistant professor of mathematics at the U.S. Naval Academy and holds a Ph.D. in industrial engineering from Purdue University.

Long bio

Duy Duong-Tran, Ph.D., is Assistant Director of Graduate Studies in Data Science at Harvard University and affiliated faculty at the Perelman School of Medicine, University of Pennsylvania. His research sits at the intersection of network neuroscience, biomedical language and vision models, and engineering education, with work published in venues such as Nature Communications, ICLR, EMNLP, MICCAI and AAAI workshops, and honored with paper awards at ACM-BCB and the AMIA Informatics Summit.

From 2023 to 2026 he was a tenure-track assistant professor in the Department of Mathematics at the U.S. Naval Academy, where he led programs for midshipmen in Vietnam and served on faculty search committees. He earned his Ph.D. in industrial engineering at Purdue University and worked at Lawrence Livermore National Laboratory during his doctoral studies. Before academia he managed automotive programs at Mann+Hummel and Denso.

Contact

For collaborations, speaking and media requests.