Mark Coletti
Staff Scientist at Oak Ridge National Laboratory
Knoxville Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolMark Coletti is a Staff Scientist at Oak Ridge National Laboratory with over a decade of experience advancing evolutionary algorithms and scalable ML workflows on HPC systems. He develops high-performance open-source tools—including the LEAP library and the R&D 100 Award-winning Gremlin—and applies his work to real-world problems like solar plant siting, carbon capture placement, and hyperparameter/architecture search. With a Ph.D. in computer science from George Mason University, he blends deep research on algorithmic dynamics with hands-on CUDA and distributed workflow engineering. His background spans geospatial and multi-agent simulation projects, reflecting a rare combination of evolutionary computation expertise and applied GIS/remote-sensing proficiency. Colletti is notable for translating research-grade algorithms into production-ready HPC software and for organizing collaborative scientific communities, such as a postdoc writing group at ORNL.
11 years of coding experience
26 years of employment as a software developer
BSc, Computer science, BSc, Computer science at Southern Polytechnic State UniversityPhD, Computer science, PhD, Computer science at George Mason University
Stackoverflow
195reputation
7kreached
6answers
8questions
Github Skills (125)
evolutionary10
python10
distributed-computing10
evolutionary-algorithms10
deep-learning9
pydata9
mermaid9
machine-learning9
pdf9
sequence9
mindmap9
docx9
dask9
open-access8
linux8
Programming languages (8)
Github contributions (5)
markcoletti/gremlin
Oct 2021 - Jan 2023
Gremlin is an evolutionary algorithm that discovers weaknesses in machine learning models.
Contributions:5 releases, 169 commits, 8 PRs in 1 year 3 months
machine-learningevolutionary-algorithmevolutionarygremlinmachine-learning-models
leap-ec/LEAP
Oct 2018 - Jan 2023
A general purpose Library for Evolutionary Algorithms in Python.
Contributions:7 releases, 17 reviews, 820 commits in 4 years 4 months
pythonevolutionary-algorithmsdeep-learningmachine-learningpurpose
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