Summary
Yorick Chern is Vice President of Artificial Intelligence at Medeloop with nine years of experience building ML-driven systems that accelerate clinical research. He progressed from founding machine learning engineer to VP, leading development of agentic AI workflows that integrate directly into clinical trial operations. His background blends computational biology and translational medicine—he rebuilt course autograders at UC Berkeley and processed tens of thousands of EHR records at UCSF to support published research. Yorick codes across the stack with Python, TensorFlow/PyTorch, and bioinformatics tools, and has hands-on experience turning raw sequencing and medical data into reproducible analyses. Based in the New York City area, he frames AI work around clinical impact, not just model metrics, and often focuses on operationalizing research pipelines for real-world trials. Colleagues know him as an algorithm engineer who pairs lab-grade rigor with product-minded delivery.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Translational Medicine, Master's degree, Translational Medicine at University of California, Berkeley