Zach Pardos
Associate Professor (with Tenure)
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolZach Pardos is an Associate Professor with tenure at UC Berkeley who blends AI research and education to design adaptive learning systems and Human–AI collaborations that improve student pathways into and through higher education. With a PhD in Computer Science and 14 years of experience spanning MIT postdoc work and applied research in industry, he helped advance formative assessment via Knowledge Tracing and published in venues from NeurIPS and SIGCHI to Science. His lab has produced AI-assistive tools used by tens of thousands of students, faculty, and administrators to support transfer, articulation, and STEM learning at community colleges and universities. Funded early by an NSF GK-12 fellowship, he brings deep classroom engagement with K–12 educators to inform pragmatic, deployable research that connects cutting-edge AI to real institutional needs.
14 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Worcester Polytechnic Institute
Github Skills (34)
python10
machine-learning10
bayesian10
deep-learning10
tensorflow10
expressions9
data-science9
ml9
deep-neural-networks9
neural-network9
mathematical8
pytorch8
theano8
acl7
phonetics7
Programming languages (3)
Github contributions (5)
CAHLR/PLAN-BERT
Jul 2021 - Jan 2023
Contributions:3 commits, 2 pushes in 1 year 7 months
CAHLR/dAFM
Feb 2019 - Oct 2021
Deep / Dynamic Additive Factors Model
Contributions:5 commits, 3 PRs, 5 pushes in 2 years 8 months
deep-learningadditivemachine-learning
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