Charlie C. Li

Affiliations.

prof_pic.jpg

32-G934

32 Vassar Street

Cambridge, MA 02139

I am Charlie (Chao) Li, a PhD candidate in Computer Science at Massachusetts Institute of Technology (MIT) advised by Dina Katabi. My research centers on cross-modality generative modeling, with applications in contactless health monitoring and visual generation. I am a current MIT HEALS Graduate Fellow and a former Wellcome Trust Fellow.

I was formerly a Research Scientist Intern at FAIR, Meta Superintelligence Labs (MSL) and at Meta Recommendation Systems (MRS), studying the intersection between representation learning and text-to-image generative models.

I obtained my Bachelor’s degree in Electrical and Computer Engineering from Carnegie Mellon University, graduating at the top of my department and receiving the prestigious E.M. Williams Award. During my time at CMU, I had the privilege of being mentored by Professors Swarun Kumar and Nancy Pollard, and I also served as President of Eta Kappa Nu, Sigma Chapter, the university’s Electrical Engineering Honor Society.

Outside of research, I love to hike and explore nature. I also happen to be a huge sitcom nerd, and hold the (controversial) opinion that Community is the best sitcom ever made.

Latest News

Sep 1, 2026 Started as an MIT HEALS Graduate Fellow in the 2026–27 cohort.
Jul 7, 2026 Presented our poster on Physiology as Language: Translating Respiration to EEG during Sleep at ICML 2026 in Seoul, South Korea.
Jul 4, 2026 Started as a Research Scientist Intern at FAIR, Meta Superintelligence Labs (MSL).
Jun 1, 2026 Became a doctoral candidate (all but thesis).
Apr 30, 2026 Physiology as Language: Translating Respiration to EEG during Sleep was accepted at ICML 2026.
May 27, 2025 Started as a Research Scientist Intern at Meta Recommendation Systems (MRS).
May 23, 2025 Completed my Research Qualifying Exam (RQE).
Sep 1, 2023 Became a Wellcome Trust Fellow at the MIT Jameel Clinic.

Selected Publications

  1. ICML
    Physiology as Language: Translating Respiration to EEG during Sleep
    Kaiwen Zha*, Chao Li*, Hao He*, and 7 more authors
    In Proceedings of the 43rd International Conference on Machine Learning (ICML), 2026
    *Co-first authors
  2. arXiv
    Unifying Contrastive and Generative Objectives for Visual Understanding and Text-to-Image Generation
    Chao Li, Tianhong Li, Sai Vidyaranya Nuthalapati, and 9 more authors
    arXiv preprint arXiv:2603.02667, 2026
  3. sleep.gif
    What radio waves tell us about sleep!
    Hao He*, Chao Li*, Wolfgang Ganglberger, and 7 more authors
    Sleep, Aug 2024
    *Co-first authors
  4. soft_manip.gif
    SoftTouch: A Sensor-Placement Framework for Soft Robotic Hands
    Chao Li, and Nancy Pollard
    In 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids), Aug 2022
  5. radar.gif
    Exploring mmWave Radar and Camera Fusion for High-Resolution and Long-Range Depth Imaging
    Akarsh Prabhakara, Diana Zhang, Chao Li, and 4 more authors
    In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Aug 2022