I am pursuing a B.S. in Artificial Intelligence at MIT, focusing on reinforcement learning, robotics, and agent systems. I currently work at CSAIL and Harvard’s AI & Robotics Lab on improving hierarchical agentic goal decomposition, imitation learning, and OpenVLA techniques. To continue my studies, I turned down my acceptance to Y Combinator’s Fall 2025 batch by David Lieb for an agentic ML project I worked on in high school.
Before MIT, I contributed to CNNs at Dr. Dena J. Clink’s lab at Cornell and helped improve OpenFace’s accuracy at Carnegie Mellon. I also developed early AI voice-agent systems, end-to-end neural network applications, full-stack platforms, and MLOps automation pipelines on my own, while gaining industry experience as a SWE intern at LexisNexis Risk Solutions through CodeDay Labs.
Some noteable things I did:
Motivated by my upbringing in a low-income immigrant family, I’m driven to build AI and robotics systems that are safe and widely accessible. Feel free to reach out, I’d love to learn more about your work and potentially collaborate!

Jefferson Lin, Henry Lieberman, David Canfield Smith, Hugo Sanchez, Honjar Xing
MIT Computer Science & Artificial Intelligence Laboratory 2025 - Present
Researching new agentic hierarchical imitation learning and goal decomposition techniques.
Jefferson Lin, Henry Lieberman, David Canfield Smith, Hugo Sanchez, Honjar Xing
MIT Computer Science & Artificial Intelligence Laboratory 2025 - Present
Researching new agentic hierarchical imitation learning and goal decomposition techniques.

Jefferson Lin, Librecorder Group
Public Invention 2025
Contributed to a low-cost, open source microscope diagnostic system to enable rapid disease detection in rural areas.
Jefferson Lin, Librecorder Group
Public Invention 2025
Contributed to a low-cost, open source microscope diagnostic system to enable rapid disease detection in rural areas.

Jefferson Lin
Y Combinator Fall Batch 2025
Designed an agentic MLOps diagnostic tool, being invited to AI Startup School with portfolio of full stack apps.
Jefferson Lin
Y Combinator Fall Batch 2025
Designed an agentic MLOps diagnostic tool, being invited to AI Startup School with portfolio of full stack apps.

Jefferson Lin, Yang Center SE Asia Research
K. Lisa Yang Center 2025
Researched CNN with geographic priors for Gibbon call classification and annotated 1000+ bioacoustic spectrograms under Dr. Dena J. Clink's Lab.
Jefferson Lin, Yang Center SE Asia Research
K. Lisa Yang Center 2025
Researched CNN with geographic priors for Gibbon call classification and annotated 1000+ bioacoustic spectrograms under Dr. Dena J. Clink's Lab.

Jefferson Lin, International Team
Cognitive Classrooms Pitch (NEOM & NY Junior Sciences Academy) 2023-2024 1st Place Winner
Developed an AI app for personalized learning with unique learning styles using LLMs, ElevenLabs, and MidJourney, placing 1st out of 142 teams.
Jefferson Lin, International Team
Cognitive Classrooms Pitch (NEOM & NY Junior Sciences Academy) 2023-2024 1st Place Winner
Developed an AI app for personalized learning with unique learning styles using LLMs, ElevenLabs, and MidJourney, placing 1st out of 142 teams.