Alex Goncearenco
Director Sr Principal Computational Biology
Bethesda, Maryland, United States
Summary
👤
Senior🎓
Top SchoolAlex Goncearenco is a computational biology leader with 19 years of experience building AI-driven drug discovery platforms that take molecules to the clinic, currently serving as Director / Sr Principal Computational Biology at Proxima. He combines deep structural biology and machine learning expertise—having driven foundation models and benchmarks (NeurIPS MLSB, ICLR, MIT MoML, PINDER/PLINDER) used in partnerships with J&J, BMS, Sanofi and others—with hands-on delivery across target validation, hit discovery, and induced proximity modalities. His early academic work produced widely adopted tools and databases (SPACER/AlloSigMA2, NBDB, MutaBind) and peer-reviewed contributions to protein design and evolution that inform practical engineering of molecular glues and degraders. Equally comfortable teaching ML to biomedical audiences and defining partner-facing playbooks, he built and scaled computational biology teams and reproducible pipelines for translational impact. Based in Bethesda with PhD training in computational biology and a background spanning software architecture to experimental validation, he uniquely bridges research, product, and pharma collaboration to accelerate therapeutic discovery.
19 years of coding experience
Master's degree Biomedical Sciences and Bioinformatics, Master's degree Biomedical Sciences and Bioinformatics at University of CologneDoctor of Philosophy - PhD Computational Biology and Biophysics, Doctor of Philosophy - PhD Computational Biology and Biophysics at University of Bergen (UiB)Master's degree in Computer Science, Master's degree in Computer Science at Moldova State University
Norwegian, German, French, Romanian, Russian, English
Github Skills (36)
cancer-genomics10
ncbi10
genomics10
docker-image9
algorithms9
python9
machine-learning9
proteins8
scientific-computing8
scipy8
bioinformatics8
structural-biology8
pdb-files7
sequence7
scientific-visualization7
Programming languages (8)
Github contributions (5)
NCBI-Hackathons/GenomicRobots
Aug 2017 - Feb 2020
A Robotic Encapsulation of a variant calling robot that can return deidentified results
Contributions:2 releases, 25 commits, 9 PRs in 2 years 6 months
robotics
neksa/mutagene
Jun 2018 - Dec 2022
Python library and package for mutational analysis
Contributions:2 reviews, 169 commits, 17 PRs in 4 years 6 months
pythoncancercancer-genomicscancer-variantsgenomics
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