Adam Yala
Chief Executive Officer at Voio Inc
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolAdam Yala is a physician-trained machine learning researcher and entrepreneur who builds AI systems to personalize cancer screening and treatment and translates them into clinical practice. As founder and CEO of Voio and an assistant professor at UC Berkeley and UCSF, he bridges academic rigor with product-driven deployment, with tools already implemented across multiple hospital systems and informing prospective clinical trials. His work spans modeling multimodal patient records, deriving decision-making policies from AI predictors, and providing decision guarantees that clinicians can act on. Trained at MIT (BS, MS, PhD) and experienced at MIT CSAIL and industry labs, he combines deep research in probabilistic modeling and clinical translation with hands-on engineering leadership. Based in Berkeley, he brings 11 years of experience turning complex biomedical data into actionable interventions and operational clinical tools. A less obvious strength is his emphasis on decision-focused guarantees—ensuring AI recommendations align with patient risks and preferences rather than just optimizing predictive metrics.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Massachusetts Institute of TechnologyUniversity of Cambridge
English, French
Github Skills (39)
breast-cancer10
npm10
python10
machine-learning10
deep-learning10
tensorflow10
nodejs10
mongodb10
realtime9
zero-configuration9
javascript9
ml9
training-data9
build-system9
natural-language-processing9
Programming languages (7)
Github contributions (5)
yala/OncoServe_Public
Dec 2017 - Mar 2022
Sharing Deep Learning Models for Breast Cancer Risk
Contributions:25 commits, 20 pushes, 4 comments in 4 years 3 months
deep-learning
yala/OncoText
Jan 2018 - Oct 2018
OncoText is an information extraction service for breast pathology reports. It supports over 20 categories including DCIS, includes pretrained models, and supports flexible addition of new categories, new training data, and parsing new reports.
Contributions:38 commits, 12 PRs, 38 pushes in 9 months
information-extractionparsingpre-trained-modeltraining-datadeep-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.