Summary
Balint Antal is a Machine Learning Lead with 11 years of experience applying deep learning, ensemble methods and image processing to high-impact biological and biomedical problems. He currently leads the IARPA-funded FELIX project at Apriori Bio, using deep learning and bioinformatics to detect engineered changes in DNA, and previously led data science projects at the Broad Institute and Cambridge. His background blends academic rigor (PhD, summa cum laude) and production software engineering across Python, Java and web stacks, plus experience with graph and relational databases. He has a track record of top-performing computer vision systems—such as award-winning diabetic retinopathy detectors—and has built open visual analytics tools like Mineotaur for large image datasets. Colleagues know him for turning complex, noisy biological data into actionable insights while supervising multidisciplinary teams and bridging research and deployable systems.
11 years of coding experience
8 years of employment as a software developer
MSc, Computer Science, MSc, Computer Science at University of Debrecen
English, Hungarian, German