Biography
I'm an Applied Deep Learning Research Scientist at NVIDIA where I work on efficient large language model architectures, training, and inference.
I received my Ph.D. in computer science from the University of Wisconsin-Madison under the supervision of Prof. Theodoros (Theo) Rekatsinas (now at Apple). I also worked closely with Prof. Shivaram Venkataraman. My research focused on the intersection of systems and algorithmic challenges for IO-aware and resource-efficient training of large-scale ML models. In particular, my dissertation studied Algorithms and Systems for Scalable Machine Learning over Graphs.
Before that, I was an undergraduate at UW-Madison where I studied Applied Mathematics, Engineering, and Physics (AMEP). I worked with Prof. Cary B. Forest at the Wisconsin Plasma Physics Laboratory.
I received my Ph.D. in computer science from the University of Wisconsin-Madison under the supervision of Prof. Theodoros (Theo) Rekatsinas (now at Apple). I also worked closely with Prof. Shivaram Venkataraman. My research focused on the intersection of systems and algorithmic challenges for IO-aware and resource-efficient training of large-scale ML models. In particular, my dissertation studied Algorithms and Systems for Scalable Machine Learning over Graphs.
Before that, I was an undergraduate at UW-Madison where I studied Applied Mathematics, Engineering, and Physics (AMEP). I worked with Prof. Cary B. Forest at the Wisconsin Plasma Physics Laboratory.