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Updated 09-29-2026
Research Interests
- Circuit- and algorithm-level accounts of how nervous systems produce fast, robust behavior, and how those principles inform the design of learning systems.
Education
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2026 - Present Ph.D. in Neuroscience, Kempner Graduate Fellow
Harvard University, Cambridge, MA -
2022 - 2026 B.A. in Mathematics, Physics, and Neuroscience
Amherst College, Amherst, MA - summa cum laude
- Honors Thesis: “Exploratory Analysis of Escape Behavior and Circuitry in Larval Zebrafish”
- Advisor: Josef G. Trapani, Ph.D.
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2025 Visiting Undergraduate Students Program
Harvard College, Cambridge, MA - Coursework: Modern Neuroanatomy, Biological and Artificial Intelligence, Electron Microscopy, Graph Theory
Research Experience
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2025 - 2026 Gregory S. Call Research Fellow
Amherst College, Department of Neuroscience, Amherst, MA Advisor: Dr. Josef G. Trapani- Developed a circuit model of the temporal dynamics of C-bends during larval zebrafish startle responses, integrating field potential, calcium imaging, and behavioral data for an honors thesis.
- Supported electrophysiology and imaging experiments investigating the effects of low-dose cisplatin on hair-cell function and mitochondrial morphology.
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2025 Research Intern
Harvard University, Center for Brain Science, Cambridge, MA Advisors: Dr. Venkatesh Murthy, Dr. Jacob Zavatone-Veth- Developed an inverse inference algorithm to extract latent finite-state controller policies and memories from behavioral data.
- Designed a behavioral paradigm and collected data to investigate how conflicting auditory and olfactory signals influence trail-following behavior.
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2023 - 2025 Undergraduate Researcher
Vanderbilt University, Department of Chemistry, Nashville, TN Advisors: Dr. Jens Meiler, Dr. Yunchao Liu- Developed WelQrate, an open-source benchmark comprising nine high-throughput screening datasets, a standardized chemical-curation pipeline, and benchmarking frameworks for probabilistic, sequence-based, and graph-based machine-learning models.
- Developed and evaluated a graph-learning augmentation method integrating expert-crafted molecular descriptors into graph representations, improving predictive performance across multiple graph neural-network architectures.
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2024 R&D Intern
Alkermes plc, Waltham, MA Advisors: Dr. Joerg Bentzien, Dr. Polina Vanyukov, Dr. Shinichiro Wachi- Developed an end-to-end machine-learning pipeline using ChEMBL data and random-forest models to predict multiple bioactivity endpoints for serotonin (5-HT) and dopamine receptors.
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2024 Summer Undergraduate Research Fellow
California Institute of Technology, Pasadena, CA Advisor: Dr. Markus Meister- Helped design and engineer a closed-loop behavioral system in which artificial prey evaded hunting mice using naturalistic escape strategies.
- Collected Neuropixels and keypoint-tracking data and applied hidden Markov models to characterize internal states underlying hunting behavior and their relationship to superior colliculus activity.
Publications
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Journal Articles
- Liu, Y., Moretti, R., Wang, Y., Dong, H., Yan, B., Bodenheimer, B., Derr, T.‡, & Meiler, J.‡ (2025). Advancements in ligand-based virtual screening through the synergistic integration of graph neural networks and expert-crafted descriptors. Journal of Chemical Information and Modeling, 65(10), 4898–4905. [DOI] [PDF]
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Refereed Conference Proceedings
- Liu, Y.†, Dong, H.†, Wang, X., Moretti, R., Wang, Y., Su, Z., Gu, J., Bodenheimer, B., Weaver, C. D., Meiler, J.‡, & Derr, T.‡ (2024). WelQrate: Defining the gold standard in small molecule drug discovery benchmarking. Advances in Neural Information Processing Systems, 37, 53222–53236. [DOI] [PDF] [Website]
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†Equal contribution. ‡Co-senior author.
Presentations
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Posters
- Pollak, D., Wang, J., Dong, H., Rios, A., Li, X. H., Zhong, E., & Meister, M. (2026, August). A parametric guidance law model of hunting in mice. Poster presented at the 9th Annual Conference on Cognitive Computational Neuroscience (CCN), New York, NY. [Abstract]
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Talks
- Dong, H., Meister, M., & Pollak, D. (2024). The states of hunting. Talk presented at the California Institute of Technology Summer Research Seminar, Pasadena, CA.
- Dong, H., Meiler, J., & Liu, Y. (2024). Advances in drug discovery. Talk presented at the AI in the Liberal Arts Undergraduate Conference, Amherst, MA.
- Dong, H., Meiler, J., & Liu, Y. (2023). Deep graph learning benchmark for ligand-based drug discovery. Talk presented at the Amherst College Summer Research Seminar, Amherst, MA.
Creative Works
- Dong, H., & Engelhardt, J. (2024). Sounds of Faith: A story of Quranic reciters in the Connecticut River Valley. Soundscapes of the Connecticut River Valley online archive. [Documentary film]
Awards, Honors & Grants
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2026 - Kempner Graduate Fellowship, Harvard University
- Ryan EDGE Fellowship, Harvard Medical School
- Obed Finch Slingerland Memorial Prize, Amherst College Board of Trustees
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2025 - Charles Hamilton Houston Research Grant ($5,000), Amherst College
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2024 - 2025 - Break Through Tech AI Fellowship, MIT Schwarzman College of Computing
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2024 - Scholar Travel Award, NeurIPS
- Gregory S. Call Travel Award ($1,000), Amherst College
- Meiklejohn Summer Research Grant ($5,000), Amherst College
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2023 - Meiklejohn Summer Research Grant ($5,000), Amherst College
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2022 - The Grosfeld Family Scholarship, Amherst College
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2021 - Top 20 Outstanding Young Vietnamese Faces Award (national youth honor), Government of Vietnam
- Labor Order, Third Class (national civilian order of merit), Government of Vietnam
- Gold Medal, International Medicine and Disease Olympiad, IMDO Foundation Board
- Exemplary Young Citizen Award, Vietnam Youth Federation
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2020 - Top 50 Global Finalist, Global Student Prize, Chegg.org & Varkey Foundation
- Silver Medal, Rudolf Ortvay International Competition in Physics for Undergraduates, Hungarian Association of Physics Students
- Silver Medal, International Biology Olympiad, IBO Committee
Professional Development
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2022 - 2026 - Education Profession Fellowship, Loeb Career Center, Amherst College
- Meiklejohn Fellowship, Loeb Career Center, Amherst College
Teaching
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2023 - 2026 Teaching Assistant
Amherst College, Amherst, MA - Animal Physiology, Spring 2026 (Instructor: Dr. Josef Trapani)
- Electromagnetism and Optics, Fall 2023 (Instructors: Dr. Juan Vasquez Carmona, Dr. Jarrett Moyer)
- Molecules, Genes & Cells, Spring 2023 (Instructors: Dr. Alexandra Purdy, Dr. Katerina Ragkousi, Dr. Christina Bowers)
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2024 - 2026 Grader
Amherst College, Amherst, MA - Graph Theory, Spring 2026 (Instructor: Dr. Miriam Kuzbary)
- Linear Algebra, Fall 2025 (Instructor: Dr. Joseph Palmer)
- Introduction to Analysis, Fall 2024 (Instructor: Dr. Ryan Alvarado)
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2019 - 2022 Biology Teacher
High School for Gifted Students, Vietnam National University - Subjects: Molecular and Cellular Biology, Plant and Animal Physiology, Genetics, Evolutionary Biology, Ecology
- Notable outcomes: 1 International Biology Olympiad gold medal, 14 National Olympiad medals
Service
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2026 Vice President
International Student Association, Amherst College -
2025 Organizer, Syllabus Design Workshops for Faculty
Amherst College -
2024 - 2026 Founder & President
Biotechnology Club, Amherst College -
2023 - 2025 Pedagogical Fellow
Center for Teaching and Learning, Amherst College -
2023 - 2025 Academic Coach
Strategic Learning Center, Amherst College -
2023 Diversity, Equity, and Inclusion Fellow
Biology Steering Committee, Amherst College -
2023 Panelist
STEM Research Invitational, Amherst College -
2023 Student Panelist
Provost's Annual Retreat on Teaching and Learning, Amherst College -
Manuscript Peer Review
Journal of Computational Biophysics and Chemistry -
2018 - Present Member of Board
Talent Nurturing Program (“Chuong trinh Nuoi Duong Nhan Tai”) -
2019 - 2022 Founder & President
Biology For All Vietnam Project -
2021 - 2022 Project Lead & English Teacher
Passerelles Numériques Vietnam -
2021 Organizer
International Conference on Raising Cybersecurity Awareness among Teenagers, Royal Thai Consulate-General -
2020 - 2021 Admissions Committee & Mentor in Biology
Vietnam Math and Science Summer Program