One snapshot of myself at campus is enough for me 🧠 (or our neighbour deer 🦌 and squirrel 🐿️) to rebuild the entire space in 3D, explore every unseen nook, and test my intuitions about the world.
Why can't machines match that? What still separates them from a squirrel 🐿️? I aim to bridge the gap: enabling machines to model the world's meaning, shape, and dynamics straight from raw data, giving machines the base they need for multimodal perception, reasoning, and interaction.
AI must serve people, thus I also tackle cancer AI's “unattainable triangle” of accessibility, accuracy, and generalizability to lay the foundation for equitable, personalized cancer care worldwide.
Super happy to chat more! I'd love to collaborate or present my research in related seminars.
Instructor: I designed and taught the undergraduate course Machine Imagination at JHU in 2025.
Service
Invited reviewer for communities: computer vision (CVPR, ICCV, ECCV, WACV), deep learning (NeurIPS, ICML, ICLR, AAAI, TPAMI), medical AI (TMI, MICCAI) and CogSci.
Workshop co-organizer for CVPR and MICCAI.
Mentoring
I am fortunate to have mentored super talented undergraduate, master and visiting students at JHU.
Students from the 2024-2025 cohort will pursue top CS PhD programs at institutions including CMU, JHU, Princeton, Northwestern and Oxford.
TaiMing Lu, a JHU undergraduate on the GenEx project, has received the Michael J. Muuss Research Award and been named a finalist for the CRA Outstanding Undergraduate Researcher Award.