Abulhair Saparov

Assistant Professor Of Computer Science at Nace.AI

Pittsburgh, Pennsylvania, United States
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Summary

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Senior
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Abulhair Saparov is an Assistant Professor of Computer Science at Purdue University and a machine learning researcher with 13 years of experience bridging probabilistic modeling, interpretable ML, and natural language understanding. He studies reasoning and mechanistic interpretability in large language models, neuro-symbolic methods, and representations of meaning, applying these tools across domains from epidemiology to phylogenetics. A Carnegie Mellon PhD and summa cum laude Princeton alumnus, he combines rigorous statistical and Bayesian nonparametric techniques with practical semantic parsing and NLU systems developed during industry and research stints at IBM, Google, and NYU. Beyond typical academic work, he has a track record of translating theory into applied tooling and consulting (Centaur AI Institute, Nace.AI), reflecting a pragmatic focus on scalable inference and real-world impact.
code13 years of coding experience
job5 years of employment as a software developer
bookPrinceton High School
bookDoctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Carnegie Mellon University
bookBachelors in Science and Engineering, Computer Science, Bachelors in Science and Engineering, Computer Science at Princeton University
languagesEnglish, Kazakh, Spanish, Japanese
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Github Skills (52)

gitlab-ce10
dataset-generation10
pgo10
graphite10
rails10
overlay10
natural-language-understanding10
gcc10
hardware10
ruby10
led-controller10
gitlab10
question-answering10
natural-language-processing10
compression10

Programming languages (11)

JavaC++ShellCJavaScriptVueGoHTML

Github contributions (5)

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eaplatanios/jelly-bean-world

Feb 2018 - Jun 2022

A framework for experimenting with never-ending learning
Contributions:3 reviews, 234 commits, 4 PRs in 4 years 4 months
nevermachine-learningexperimentingending
asaparov/parser

Jun 2017 - Apr 2022

Semantic parser induction using a generative model of grammar.
Contributions:35 commits, 34 pushes, 1 branch in 4 years 10 months
generative-modelparsersemantic-parsergrammar-induction-algorithmsnatural-language-processing
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