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.
11 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 (30)
stochastic9
lda8
allocation8
latent-dirichlet-allocation8
sublime-text8
sublime7
textmate7
sublime-text-plugin7
flutter5
generative5
inference5
statistics5
variational-inference5
machine-learning4
latex4
Programming languages (4)
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
ldainferenceallocationlatent-dirichlet-allocationstochastic
ajbc/ajbc.github.io
Mar 2015 - Jun 2022
Contributions:143 commits, 154 pushes, 1 branch in 7 years 5 months
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