Caleb Ellington
Research Scientist at CMU-PITT Computational Biology Ph.D. Program
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolCaleb Ellington is a research scientist and computational biologist with a decade of experience applying machine learning and software engineering to precision medicine and therapeutic discovery. Currently at GenBio AI and a PhD candidate in the CMU-PITT Computational Biology program, he builds foundation-model and probabilistic approaches for target identification and rare-disease therapeutics. His background spans deep learning for protein folding at the Institute for Protein Design, ML-driven drug discovery at Genesis Therapeutics, and scalable lab informatics and cloud infrastructure from earlier research and software roles. Equally at home with code and biology, he blends production-ready software practices with cutting-edge probabilistic and multi-task learning methods to move models toward real-world impact. Based in San Francisco, he describes himself succinctly on GitHub as a "Computational Biologer," signaling a pragmatic, research-first approach to computational biology.
10 years of coding experience
4 years of employment as a software developer
B.S., Computer Science, B.S., Computer Science at University of WashingtonDoctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Carnegie Mellon University School of Computer Science
Github Skills (45)
xai10
toolbox10
lime10
statistics10
distributions10
bioinformatics10
statistical-machine-learning9
machine-learning9
incremental-learning9
python8
data-science8
journal6
ssh5
computational-biology5
open-access5
Programming languages (4)
Github contributions (5)
cnellington/bioscience-python-tutorials
Jan 2020 - May 2020
A series of tutorials to introduce bioscience students to a variety of python-based research applications. UW Bioengineering 2019-2020 honors project
Contributions:14 commits, 6 PRs, 7 pushes in 4 months
pythonbioengineeringintroducehonorsbioscience
cnellington/AsynchronousBLASTWebApp
Oct 2019 - Apr 2020
A simple React-Django webapp to query DNA sequences against a databank of .fasta files
Contributions:26 PRs, 29 pushes, 7 branches in 6 months
queryreactpythondjango-rest-frameworkdjango
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