Summary
Chris Iacovella is a Bioinformatics Software Engineer III and computational scientist with over two decades of research experience, now applying molecular simulation, high-performance computing, and data science at Memorial Sloan Kettering Cancer Center. He combines deep domain expertise in computational chemistry, materials science, and biophysics with practical software development—co-leading the open-source MoSDeF effort to improve reproducibility and enable high-throughput chemical screening. His work spans atomistic-to-coarse-grained modeling, force field development, and machine learning–driven analysis, with applications from nanoparticle self-assembly to biological membrane permeation. As a former research professor he has mentored 30+ students, authored 60+ peer-reviewed papers with ~1,600 citations, and run workshops training hundreds of researchers. Based in Portland, he is known for bridging rigorous simulation methodology with production-ready tooling that accelerates scientific design cycles. An underappreciated strength is his track record of translating complex structural analysis algorithms into user-friendly, reproducible software used by the community.
11 years of coding experience
20 years of employment as a software developer
PhD, Chemical Engineering, PhD, Chemical Engineering at University of Michigan
BS, Chemical Engineering, BS, Chemical Engineering at University at Buffalo