Joseph Valencia
Postdoctoral Research Associate
Corvallis, Oregon, United States
Summary
👤
Senior🎓
Top SchoolJoseph Valencia is a machine learning scientist specializing in domain-adapted deep learning for biological sequences, with eight years of experience bridging computational research and applied biotech. Currently a Postdoctoral Research Associate at GSK, he designs ML-driven protein and vaccine antigen solutions and previously optimized RNA designs for controllable protein expression using generative models. His PhD work produced interpretable sequence-to-sequence models that distinguish coding from noncoding RNAs and advanced techniques for model interpretation in nucleic acid contexts. He has industry experience training neural network potentials for small-molecule energetics and applying uncertainty estimation in early drug discovery. Comfortable moving models from theory to prototype, he combines strong software engineering roots with a knack for making deep models biologically insightful. He aims to transition into industry research roles focused on therapeutic innovation.
8 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of TulsaCharles III University of Madrid (Universidad Carlos III de Madrid)Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Oregon State University
Github Skills (24)
pytorch10
python10
machine-learning10
internationalization10
deep-learning10
natural-language-processing10
nlp10
translation9
transformers9
django9
language-model9
bert9
tensorflow9
localization9
speech-recognition9
Programming languages (3)
Github contributions (5)
josephvalencia/bioseq2seq
Apr 2023 - Apr 2024
Contributions:1 review, 7 PRs, 41 pushes in 1 year
BioinformaticsToolsmith/LtrDetector
Oct 2018 - Apr 2019
Contributions:23 commits, 27 pushes, 1 branch in 6 months
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