Summary
Attila Jones is a Principal Scientist in computational ML with a decade of experience applying statistical rigor and modern deep learning to drug discovery and translational biology. He bridges wet‑lab and computational teams, having led network pharmacology and Bayesian dose–response projects at the National Institute on Aging and directed data science programs that integrated behavioral, neurophysiology, and cheminformatics for phenotypic drug discovery. Now running independent research from New York, he’s extending his toolkit to transformers, equivariant networks, and diffusion models for protein structure and multimodal biological data while collaborating with academic and industry partners. Trained as a biophysicist (PhD, Göttingen) with deep roots in electrophysiology and large‑scale sequencing, he combines rigorous experimental intuition with elegant statistical and software solutions. He is comfortable scaling analyses to HPC/cloud and has a track record of turning methodological limitations into reproducible tooling and validated biological insights. Notably, his background spans hands‑on bench analysis through director‑level strategy, giving him a rare end‑to‑end perspective on biomedical AI projects.
10 years of coding experience
12 years of employment as a software developer
Master of Science (MSc), Neuroscience, Master of Science (MSc), Neuroscience at Eötvös Loránd University
Doctor of Philosophy (Ph.D.), Biophysics, cum laude, Doctor of Philosophy (Ph.D.), Biophysics, cum laude at The University of Göttingen
English, German, Hungarian