Reid Mcilroy-young
Postdoc, Harvard SEAS at Harvard University
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolReid Mcilroy-young is a research-focused software engineer and postdoctoral fellow at Harvard SEAS with 11 years of experience at the intersection of machine learning, mathematical physics, and computational social science. He earned a PhD in Computer Science from the University of Toronto after grounding in theoretical and mathematical physics, and applies rigorous quantitative thinking to problems of global connectivity and algorithmic fairness. His work spans data pipelines and model training—evidenced by contributions to Maia, a human-like neural-network chess engine—demonstrating strong back-end and ML engineering skills. Reid has experience in industry research settings including Meta FAIR and brings a practitioner’s sensibility to translating complex theory into usable systems. He is driven by an interest in intuitive design and emerging technology, aiming both to advance scientific knowledge and to create tools that enrich others’ lives. Colleagues value him for combining deep mathematical intuition with pragmatic engineering to tackle fairness and human-centered AI challenges.
11 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of TorontoMasters, Computational Social Science, Masters, Computational Social Science at University of ChicagoBachelor of Science (B.S.), Theoretical and Mathematical Physics, Bachelor of Science (B.S.), Theoretical and Mathematical Physics at University of Waterloo
Github Skills (7)
machine-learning10
deep-learning10
python10
chess-engine9
tensorflow9
data-pipeline8
data-pipelines8
Programming languages (5)
Github contributions (5)
CSSLab/maia-chess
Feb 2020 - Oct 2022
Maia is a human-like neural network chess engine trained on millions of human games.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:1 release, 3 reviews, 38 commits in 2 years 8 months
Contributions summary:Reid contributed code related to move prediction within a chess engine, specifically focusing on the `maia/chunkparser.py` file. The changes involve parsing and processing chunk data, likely for training a machine learning model. The commits suggest the user worked on data input and parsing functionality for the neural network, demonstrating an understanding of data pipelines and model training processes.
human-likegamesucichess-enginedeep-learning
UWNETLAB/metaknowledge
Jul 2015 - Dec 2016
A Python library for doing bibliometric and network analysis in science and health policy research
Contributions:10 releases, 729 commits, 1 PR in 1 year 5 months
bibliometricspolicysocial-network-analysispythonpython-library
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