Research only matters if it's shared. I teach deep learning to hundreds of students, mentor researchers at CMU, and have taught computer science to communities far from any classroom.
Carnegie Mellon University · Jan 2025 — Present
One of CMU's flagship graduate courses. I deliver recitations and lectures and mentor 200+ students through their deep learning projects, from architecture choices to debugging training runs.
CMU 11-785 · 2025
Designed and recorded lecture material on variational autoencoders and diffusion models — building intuition from the latent-variable formulation through to modern denoising approaches, now publicly available on YouTube.
Mentor multiple students at the Language Technologies Institute and lead weekly MLSP lab meetings, supporting peers across the research lifecycle.
Mentored undergraduates through OURCS, guiding teams from an idea to a working demo over an intensive 48-hour research sprint.
Taught mathematics, English, and computer science to refugee students — bringing technical education to learners with limited access to it.
Peer review for the IEEE International Conference on Acoustics, Speech and Signal Processing.
Evaluate doctoral applications for the Language Technologies Institute.
Organize and lead weekly Machine Learning for Signal Processing lab meetings.
First TEDx organizer in the country; coverage in the Wall Street Journal and The Guardian.