David Juergens
Postdoctoral Researcher at Institute for Protein Design, University of Washington
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolDavid Juergens is a postdoctoral researcher at the Institute for Protein Design in Seattle, leveraging six years of academic and research experience to apply machine learning to protein design. He holds deep training in chemical engineering and computational chemistry from the University of Washington, where he completed a PhD focused on molecular engineering and ML-driven approaches. His background spans hands-on lab work in microfluidics and point-of-care diagnostics to computational modeling, giving him a rare cross-disciplinary fluency between experiments and algorithms. Colleagues describe him as comfortable translating bench problems into data-driven models and iterating rapidly between hypothesis, simulation, and validation. Outside the lab he has a track record of mentoring and community-facing roles, from coaching youth sports to tutoring, which underscores his collaborative and communicative approach to complex scientific problems.
7 years of coding experience
2 years of employment as a software developer
Chemical Engineering, Chemical Engineering at University of Washington
Stackoverflow
67reputation
3kreached
1answer
5questions
Github Skills (20)
data-extraction7
protein-structure7
optimization6
gpu6
python6
numpy6
pytorch6
visual-studio-code-extension6
scipy6
slurm6
simplex6
clustering5
graph-neural-network5
bioinformatics5
3d5
Programming languages (5)
Github contributions (5)
UWPRG/UW-Molecular-Data-Mining
Jul 2019 - Apr 2020
Repository for chemical data extraction from literature corpora
Contributions:1 release, 83 commits, 126 pushes in 8 months
data-extraction
davidcjuergens/molzen
Oct 2025 - Jun 2026
Contributions:31 PRs, 99 pushes, 2 branches in 7 months
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