Christopher Coletta
Data Scientist
Baltimore, Maryland, United States
Summary
👤
Senior🎓
Top SchoolChristopher Coletta is a data scientist and cloud-savvy AI specialist with 15 years of experience applying engineering rigor to biomedical imaging, longitudinal epidemiology, and production data systems. He spent over a decade at the National Institute on Aging developing open-source bioimage informatics tools and analysis pipelines, and now applies that domain expertise to data science work at Fearless. With an M.S. in Data Science and a B.S. in Mechanical Engineering, he bridges quantitative modeling, software engineering, and cloud architecture to turn noisy scientific data into actionable insights. A practiced instructor and mentor—he has taught university bioinformatics courses and thousands of hours of sailing instruction—he brings clear communication and real-world training experience to interdisciplinary teams. Notably, his background combines hands-on instrument-level imaging analysis with production-grade tool development, making him adept at taking research code into reliable, reproducible pipelines.
16 years of coding experience
16 years of employment as a software developer
B.S., Mechanical Engineering, B.S., Mechanical Engineering at University of Massachusetts AmherstM.S. Data Science, M.S. Data Science at Loyola University MarylandDiploma, Diploma at Boston Latin School
Italian, klingon
Stackoverflow
191reputation
47kreached
4answers
2questions
Github Skills (41)
pattern-recognition10
database-design9
xgboost7
java7
machine-learning7
jupyter-notebook6
pytesser6
autoconf6
ocr6
distributed-systems6
ipython6
jupyterlab6
python6
scala6
earth-observation6
Programming languages (9)
Github contributions (5)
colettace/wnd-charm
Jan 2015 - Jan 2023
A generalized pattern recognition system for images developed by the Goldberg group at the NIH/NIA.
Contributions:2 PRs, 125 pushes, 47 branches in 8 years 2 months
recognitionnihpattern-recognitionniapattern
wnd-charm/wnd-charm
Sep 2013 - Jun 2019
A generalized pattern recognition system for images developed by the Goldberg group at the NIH/NIA.
Contributions:246 commits, 57 PRs, 31 pushes in 5 years 9 months
pattern-recognition
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