Nickolas Littlefield
Graduate Research Assistant
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolNickolas Littlefield is a PhD candidate in Intelligent Systems at the University of Pittsburgh and a research assistant at Pitt HexAI and CPACE focused on explainable, safe, and fair AI for medical image analysis. With nine years of experience spanning teaching, research, and cloud administration, he has authored multiple papers and helped organize tutorials and summer schools that promote open scientific education. His background combines practical deep learning applications—from Kaggle competitions to toxicology image classification—with hands-on roles in biostatistics and clinical research internships. He has a strong academic foundation (MS in Statistics, Data Science certificate, BS in Computer Science) and a track record of building robust preprocessing pipelines for messy experimental data like eye-tracking. Known for bridging classroom instruction and cutting-edge research, he brings both pedagogical skill and reproducible engineering practices to multidisciplinary teams. Based in Pittsburgh, he leverages prior cloud and web development experience to move research prototypes toward deployable, transparent AI systems.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Intelligent Systems, Doctor of Philosophy - PhD, Intelligent Systems at University of PittsburghMaster of Science - MS, Statistics, 3.953, Master of Science - MS, Statistics, 3.953 at University of Southern Maine
English
Github Skills (3)
health9
application-server8
data-collection6
Programming languages (3)
Github contributions (5)
littlefieldnick/place-matters
Jul 2020 - Dec 2020
Contributions:12 PRs, 107 pushes, 9 branches in 4 months
OpenHDS/openhds-server
Apr 2018 - Jul 2019
Server application for Health and Demographic Data collection and management
Contributions:35 commits, 19 pushes, 11 branches in 1 year 2 months
healthdata-collectionapplication-server
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