Ben Spector

Benjamin Frederick Spector is a PhD student in computer science at Stanford University, advised by Christopher Ré. He is known for research in efficient machine learning systems and inference, including work on speculative decoding, scaling laws for precision, and GPU kernel frameworks such as ThunderKittens. He received his SB and MEng from MIT prior to Stanford.