Jeremy Yang
Research Associate Professor
Albuquerque, New Mexico, United States
Summary
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Senior🎓
Top SchoolJeremy 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.
10 years of coding experience
28 years of employment as a software developer
M.A., Education, M.A., Education at University of California, BerkeleyLinton High SchoolPhD, Informatics, PhD, Informatics at Indiana University BloomingtonB. Eng., Electrical Engineering, B. Eng., Electrical Engineering at McGill University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (31)
biomedical10
rest9
api9
python8
associative8
scaffold7
electrical-engineering7
pattern7
graph7
machine-learning6
science5
tlaplus5
static-analysis4
linter4
database3
Programming languages (6)
Github contributions (5)
unmtransinfo/CARLSBAD
Aug 2021 - Nov 2022
Code for the CarlsbadOne web app and related libs and tools.
Contributions:1 review, 9 PRs, 8 pushes in 1 year 4 months
development-toolsnim-langweb-development-toolslibswebapp
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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