Summary
Kevin Lopez is a machine learning engineer with 11 years of experience who currently productionizes ML pipelines at JPMorgan Chase after a research-focused career improving clinical outcomes at Yale School of Medicine. He holds a PhD in Computational Biology and Bioinformatics from Yale and has deep experience building multimodal deep learning systems that fuse image and text data for medical applications using TensorFlow and Keras. Kevin’s background blends applied research and software engineering—he has built clinical decision tools and enterprise modules in C#, ASP.NET, and MVC5 before shifting to production ML at scale. Based in the New York City area, he brings domain expertise in healthcare AI, strong engineering chops for deploying reliable pipelines, and a track record of turning research prototypes into production-ready systems. An understated strength is his ability to navigate both academic rigor and enterprise delivery, bridging teams that span clinicians, researchers, and platform engineers.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Southern Connecticut State University
Doctor of Philosophy (PhD) Computational Biology and Bioinformatics, Doctor of Philosophy (PhD) Computational Biology and Bioinformatics at Yale University
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at University of Connecticut
Spanish, English