Machine learning professors in the United States

Updated September 24, 2026 · 30 professors · 16 universities

30 machine learning professors in the United States, at 16 universities. The most represented are California Institute of Technology, Cornell University and Stanford University. 30 of them are verified faculty: their current appointment was confirmed against their own university's pages or a current faculty record in ORCID, and they are listed first.

The list is built from open publication data (OpenAlex and ORCID), the same data ProfScout uses in the app: actively publishing faculty at the largest research universities in the United States whose recent work sits in machine learning. Retired, trainee and staff-scientist records are filtered out where the public record identifies them. It is not a prestige ranking: professors are listed by how prominently machine learning figures in their published work, verified faculty first. Reply-fit scores, which weigh how likely each professor is to answer a student's email, are computed for your own profile inside ProfScout. Updated September 2026; the list is rebuilt from the open record a few times a year.