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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

  • 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.
  • 2025
    Visiting Undergraduate Students Program
    Harvard College, Cambridge, MA
    • Coursework: Modern Neuroanatomy, Biological and Artificial Intelligence, Electron Microscopy, Graph Theory

Research Experience

  • 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.
  • 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.
  • 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.
  • 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.
  • 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

  • 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]
  • 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]
  • †Equal contribution. ‡Co-senior author.

Presentations

  • 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]
  • 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

  • 2026
    • Kempner Graduate Fellowship, Harvard University
    • Ryan EDGE Fellowship, Harvard Medical School
    • Obed Finch Slingerland Memorial Prize, Amherst College Board of Trustees
  • 2025
    • Charles Hamilton Houston Research Grant ($5,000), Amherst College
  • 2024 - 2025
    • Break Through Tech AI Fellowship, MIT Schwarzman College of Computing
  • 2024
    • Scholar Travel Award, NeurIPS
    • Gregory S. Call Travel Award ($1,000), Amherst College
    • Meiklejohn Summer Research Grant ($5,000), Amherst College
  • 2023
    • Meiklejohn Summer Research Grant ($5,000), Amherst College
  • 2022
    • The Grosfeld Family Scholarship, Amherst College
  • 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
  • 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

  • 2022 - 2026
    • Education Profession Fellowship, Loeb Career Center, Amherst College
    • Meiklejohn Fellowship, Loeb Career Center, Amherst College

Teaching

  • 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)
  • 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)
  • 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

  • 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