Allison Chaney
Adjunct Professor at Duke University - The Fuqua School of Business
United States
Summary
👤
Senior🎓
Top SchoolAllison Chaney is an academic machine learning researcher and educator with 11 years of experience focused on understanding how models affect individuals and society and on designing algorithms that improve both business outcomes and human well‑being. She holds a PhD in Computer Science with a machine learning emphasis from Princeton and has held research and teaching roles at Princeton and Duke’s Fuqua School of Business, where she now serves as an adjunct professor. Her work spans rigorous postdoctoral research, industry internships at Microsoft and startups, and technical roles that bridge software engineering and applied ML. Allison’s background in both engineering (BA/BS from Swarthmore) and long-form research gives her a rare combination of production sensibility and theoretical grounding, with a particular interest in the societal impacts of algorithmic systems.
12 years of coding experience
12 years of employment as a software developer
BA and BS, Computer Science and Engineering, BA and BS, Computer Science and Engineering at Swarthmore CollegePhD, Computer Science; Machine Learning, PhD, Computer Science; Machine Learning at Princeton University
English, Spanish
Github Skills (21)
lda9
latent-dirichlet-allocation8
sublime-text8
sublime-text-plugin7
variational-inference6
latex5
statistics5
generative-model4
flutter4
deep-learning3
tensorflow3
bayesian-methods3
data-science3
machine-learning3
pdf2
Programming languages (7)
Github contributions (5)
ajbc/lda-svi
Jul 2014 - Sep 2015
an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference
Contributions:23 commits, 1 PR, 4 pushes in 1 year 2 months
latent-dirichlet-allocationldavariational-inference
ajbc/capsule
Jul 2015 - Oct 2016
Contributions:200 commits, 2 pushes, 1 branch in 1 year 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.