Jeremy Yang

Research Associate Professor

Albuquerque, New Mexico, United States
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Summary

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Senior
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Top School
Jeremy Yang is a research associate professor and seasoned scientific software developer with over a decade of experience building chemoinformatics and biomedical informatics systems across academia and industry. He combines deep domain expertise in 2D/3D virtual screening, database design, and scientific software with low-level programming skills in C/C++ and scripting in Perl and Python, honed at organizations like Daylight, OpenEye, Data2Discovery and UNM. His work spans algorithm development and large-scale screening projects that have appeared in venues from J. Chem. Inf. Comput. Sci. to PNAS, reflecting a rare blend of computational rigor and chemical insight. A proven manager and educator, he has led translational informatics teams while mentoring users and developers, and he continues to bridge research and product delivery in Albuquerque. An interesting thread through his career is sustained focus on canonicalization and structural commonalities in diverse datasets—an attention to data consistency that underpins many of his tools and publications.
code11 years of coding experience
job28 years of employment as a software developer
bookM.A., Education, M.A., Education at University of California, Berkeley
bookLinton High School
bookPhD, Informatics, PhD, Informatics at Indiana University Bloomington
bookB. Eng., Electrical Engineering, B. Eng., Electrical Engineering at McGill University
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Stackoverflow

Stats
1reputation
0reached
0answers
0questions
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Github Skills (31)

python9
rest9
rest-api9
graph8
pattern8
associative8
scaffold7
tlaplus7
electrical-engineering7
rdkit7
machine-learning7
nim-lang6
linter5
static-analysis4
science4

Programming languages (6)

TypeScriptJavaRHTMLJupyter NotebookPython

Github contributions (5)

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unmtransinfo/TIGA

Aug 2018 - Nov 2022

Contributions:315 commits, 206 pushes, 1 branch in 4 years 4 months
unmtransinfo/Badapple

Oct 2018 - Nov 2022

Bioassay data associative promiscuity pattern learning engine.
Contributions:2 reviews, 65 commits, 5 PRs in 4 years 2 months
machine-learningassociativeelectrical-engineeringtlaplusbioassay
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