Robert Logan
Research Scientist, NLP at Dataminr
California, United States
Summary
👤
Senior🎓
Top SchoolRobert Logan is a Research Scientist in NLP with a decade of experience bridging academic rigor and industry impact, currently advancing event detection at Dataminr after completing a Ph.D. at UC Irvine under Padhraic Smyth and Sameer Singh. His research blends language modeling and information extraction, with notable work proposing the FRUIT task at Google and publications on streaming cross-document entity coreference. He leverages structured knowledge to improve generation and representations, translating theory into practical systems through internships at Google and Diffbot and earlier applied analytics at Prologis. A dual BA in Mathematics and Economics and a spotless graduate record reflect strong quantitative foundations that inform his interdisciplinary approach to ML problems.
11 years of coding experience
4 years of employment as a software developer
University of California Santa CruzM.S., Computer Science, 4.0, M.S., Computer Science, 4.0 at University of California, Irvine
Github Skills (39)
pytorch10
language-model10
python10
evaluation10
natural-language-processing10
nlp10
data-science9
few-shot-learning9
deep-learning9
background-service8
data-preprocessing8
wikitext8
machine-learning7
computational-linguistics7
phonetics7
Programming languages (8)
Github contributions (5)
rloganiv/claimrank-allennlp
Nov 2018 - Mar 2020
Contributions:15 commits, 8 PRs, 9 pushes in 1 year 4 months
rloganiv/kglm-model
Dec 2018 - Jul 2020
Code for KGLM paper
Contributions:234 commits, 65 PRs, 113 pushes in 1 year 7 months
nlp
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