Vincent Zaballa
Researcher Phd Candidate
Irvine, California, United States
Summary
👤
Senior🎓
Top SchoolVincent Zaballa is a PhD candidate and researcher at UC Irvine who combines bioengineering and deep learning to probe combinatorial cellular systems and create generative models for biological data. With a decade of experience across academia, medtech, and startups, he has led product development for novel medical devices, won SBIR funding, and co-founded a data-focused company that applied analytics to water resources. His background in shape-memory polymers and hands-on device prototyping couples with skills in microfluidic platform design and Bayesian forecasting, enabling both experimental and computational approaches to translational problems. Vincent’s work uniquely ties commercialization experience to rigorous research—he designs experiments with an eye toward regulatory, market, and reimbursement pathways in addition to scientific insight.
9 years of coding experience
5 years of employment as a software developer
Master of Research (MRes), Bioengineering and Biomedical Engineering, Master of Research (MRes), Bioengineering and Biomedical Engineering at Imperial College LondonMaster's Degree, Bioengineering and Biomedical Engineering, Master's Degree, Bioengineering and Biomedical Engineering at Texas A&M University
Github Skills (30)
optimization10
gradient9
machine-learning9
parameter-estimation9
bayesian-methods8
bayesian-inference8
probabilistic8
pyro8
statistics8
probabilistic-programming8
simulation8
pytorch7
probabilistic-reasoning7
numpyro7
deep-learning7
Programming languages (3)
Github contributions (5)
vz415/bio_ml_blog
Jan 2018 - May 2024
Contributions:50 pushes, 6 branches in 6 years 5 months
vz415/Capstone_Project
Sep 2016 - Jun 2020
Contributions:12 pushes, 1 branch in 3 years 9 months
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