Alex 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 Cologne
Doctor 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
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Alex Goncearenco - Director Sr Principal Computational Biology