Mark Hopkins
Associate Professor
Williamstown, Massachusetts, United States
Summary
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Senior🎓
Top SchoolMark Hopkins is an associate professor of computer science at Williams College with 11 years of experience focused on natural language processing and machine learning in liberal arts settings. He blends deep academic research—PhD from UCLA and early collaborations with Judea Pearl—with hands-on engineering leadership from industry roles at AI2 and Language Weaver where he managed teams and delivered production translation and QA systems. His work includes directing Project Euclid, producing an end-to-end SAT math question-answering system that matched strong human performance, and contributing foundational algorithms such as the GHKM rule extraction for syntax-aware MT. Comfortable moving between theory and production, he has a track record of mentoring students while scaling research into deployed systems. Based in Williamstown, MA, he brings a rare mix of formal theoretical insight and practical system-building honed across academia and industrial research.
11 years of coding experience
22 years of employment as a software developer
B.A., Computer Science, B.A., Computer Science at University of California, BerkeleyUniversity of California, Los Angeles
German, French
Github Skills (29)
deep-learning9
nlp9
pos-tagger8
python8
tokenizer8
natural-language-processing8
tensorflow8
pos8
pytorch8
data-science7
machine-learning7
parser7
bert6
transformers6
question-answering5
Programming languages (7)
Github contributions (5)
Mark-Hopkins-at-Reed/thesis-max-rosenberg
Feb 2020 - Nov 2020
Contributions:2 reviews, 45 PRs, 18 pushes in 8 months
Mark-Hopkins-at-Williams/selective-prediction
Aug 2021 - Sep 2022
Contributions:1 PR, 160 pushes in 1 year
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