PhD Student, UC Berkeley EECS · BLISS Lab
253 Cory Hall, Berkeley, CA 94720
I am a PhD student at UC Berkeley EECS, advised by Anant Sahai and Gireeja Ranade in the BLISS Lab. My research focuses on emergent capabilities in transformer-based deep neural networks. Specifically, I study pretraining interventions that modulate how in-context learning, in-weights memorization, and associative recall capabilities are learned. I am also studying the fundamental energetic bounds of floating-point computation.
I received my Sc.B. in Computer Engineering from Brown University in 2023. In the summer of 2026 I will be interning at the Flatiron Institute, within the Neural Circuits and Algorithms Lab headed by Dmitri Chklovskii.
Research interests: machine learning theory, deep learning, complex systems, information theory, control theory, theoretical neuroscience.
ICLR 2026 Workshop on Scientific Methods for Understanding Deep Learning
arXiv:2605.11546, 2026
ICML 2025 Workshop on Methods and Opportunities at Small Scale
3rd ICML Workshop on High-dimensional Learning Dynamics, 2025
arXiv:2507.01414, 2025
Graduate Student Instructor, UC Berkeley EECS
Led two discussion sections per week (20–40 students each) on modern optimizers, CNNs, SSMs, transformers, and generative models. Helped students frame open-ended course projects; maintained Jupyter notebooks and written problems.
Graduate Student Instructor, UC Berkeley EECS
Led two discussion sections per week covering basic probability, Markov chains, information theory, and statistics. Developed homework and exam problems.