Mark Hopkins
Chair Of Computer Science at Williams College
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 (26)
python9
natural-language-processing9
tokenizer9
nlp9
pos-tagger9
parser8
deep-learning8
phonetics8
computational-linguistics8
tensorflow8
pytorch8
data-science8
acl7
oauth5
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/csci-378
Jan 2019 - Apr 2020
Course materials for CSCI 378: Deep Learning (Reed College)
Contributions:111 commits, 109 PRs, 69 pushes in 1 year 3 months
deep-learning
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