Summary
Cory Kornowicz is a machine learning engineer and co-founder with a decade of hands-on experience building AI-driven drug discovery infrastructure and aging-related models. Based in Rochester, NY, he blends computational chemistry research from his undergraduate work with practical engineering—designing end-to-end ML pipelines for wearable data, blood biomarkers, and hit-to-lead optimization. At LiteFold and previously OpenBench and Zest he has moved rapidly between research and production, reimplementing state-of-the-art models in PyTorch/TensorFlow/JAX and optimizing performance with Cython/Numba on AWS. His background in bioinformatics and a current master's in chemistry give him a rare dual fluency in molecular mechanisms and scalable ML systems. Notably, he has delivered both consumer-facing apps and backend discovery platforms, demonstrating an unusually broad bridge between lab-scale insight and product-grade infrastructure.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Bioinformatics and Computational Biology, Bachelor of Science - BS Bioinformatics and Computational Biology at Rochester Institute of Technology
Advanced Regents Diploma with Honors Distinction General Studies, Advanced Regents Diploma with Honors Distinction General Studies at St. Francis High School Hamburg, NY