Alejandro Ley
Lead Data Scientist
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolAlejandro Ley is a Lead Data Scientist in Cambridge, MA with a PhD in Computational Biophysics and over nine years translating molecular-level insight into ML-driven solutions for protein and antibody engineering. He has led computational protein design and molecular simulation efforts across biotech and pharma—most recently at Novo Nordisk after senior roles at Metaphore Biotechnologies and Zymeworks—building deep-learning models that connect sequence, structure, and function. His background in biochemistry and extensive experience with enhanced sampling, Markov state modeling, and coarse-grained/atomistic simulations give him a rare ability to move projects from theoretical ensembles to production-ready predictive models. Alejandro combines unsupervised learning and maximum-entropy approaches to calibrate noisy experimental data, and he favors workflows that enable rapid ensemble prediction from large structural fragment sets. Colleagues rely on him for bridging fundamental biophysics with practical ML deployment in drug discovery, and he brings a curiosity for algorithmic detail that often surfaces in faster, more interpretable modeling pipelines.
9 years of coding experience
12 years of employment as a software developer
Bachelor of Science, Biochemistry, Bachelor of Science, Biochemistry at University of HavanaPhD, Computational Biophysics, PhD, Computational Biophysics at Scuola Internazionale Superiore di Studi Avanzati di Trieste
Spanish, English, Italian
Github Skills (5)
deep-learning3
machine-learning3
pytorch3
graph3
graph-convolutional-networks3
Programming languages (2)
Github contributions (5)
alejogiley/pypoc
May 2019 - Jul 2021
Contributions:11 PRs, 104 pushes, 26 branches in 2 years 2 months
alejogiley/vmd_msd_map
Mar 2018 - Mar 2020
Contributions:2 PRs, 26 pushes, 2 branches in 1 year 11 months
lipidgridheadmap
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