Welcome! My name is Simran and I'm a PhD student in Computer Science at Stanford, where I am advised by Christopher Ré. I am part of the
Hazy Research Lab and supported by a
Stanford Graduate Fellowship as the Sequoia Capital Fellow. I am also an academic partner of
Cartesia AI and
Together AI.
My research is in
AI Systems. I work on developing AI that scales and uses the hardware efficiently.
- Hardware: As the complexity of AI hardware increases, how can we make it easier to extract high utilization for new AI algorithms? (ThunderKittens)
- Software algorithms: How do we build AI algorithms that scale and use the hardware efficiently? (Zoology, Based, JRT, LoLCATS, Monarch Mixer, Random Embeddings, Machine Precision)
- Applications: What are the most efficient ways to use our models in AI applications? (AMA, Evaporate, Private Search, Verifiable Training)
I recently co-created and taught a
new systems for machine learning course (CS 229s) at Stanford!
I am on the academic job market 2024-25!