Daniel Siegle
Durham, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolDaniel Siegle is a machine learning engineer with 12 years of experience bridging computational biology, genomics pipelines, and applied ML; he currently trains and fine-tunes LLMs while leading ML work at Possible Futures. His background in pharmaceutical sciences and hands-on biomanufacturing gives him rare end-to-end insight from cGMP protein purification to large-scale NGS data delivery and pipeline optimization. He has driven bioinformatics software for a Beijing lab start-up, managed complex genomic “hairballs,” and teaches AI for health and life sciences, blending practical lab rigor with modern ML practice. A community-oriented organizer of the Deep Learning RTP meetup and former fisheries observer, he pairs technical depth with field-tested independence and systems thinking.
12 years of coding experience
8 years of employment as a software developer
BS Biology, BS Biology at The University of North Carolina at Chapel HillMaster of Science Pharmaceutical Sciences, Master of Science Pharmaceutical Sciences at North Carolina Central University
Stackoverflow
1reputation
0reached
0answers
0questions
Programming languages (2)
Github contributions (5)
5x5x5x5/CYP
Jun 2014 - Apr 2015
Contributions:85 commits, 70 pushes in 9 months
5x5x5x5/5x5x5x5.github.io
Nov 2015 - Feb 2026
Contributions:8 pushes in 10 years 4 months
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