Summary
Dmitry Kislitsyn is an Algorithm Scientist with 12 years of experience at the intersection of semiconductor process modeling and experimental nanoscience, currently driving algorithm development for Nova Measuring Instruments in Fremont. He holds a Ph.D. in Physical Chemistry from the University of Oregon and previously built production-grade compact models and OPC recipes for EUV lithography at GLOBALFOUNDRIES, reducing critical dimension errors by significant margins. Dmitry combines hands-on equipment engineering—having led construction and troubleshooting of a high‑vacuum cryogenic STM—with software and automation expertise that boosted lab data throughput ~100x and moved heavy analyses from supercomputers to PCs. His background blends deep physics, advanced modeling, and practical tool-building for process development, and he has a track record of revealing hidden error sources and translating experimental learning into robust production solutions. Notably, he improved sample prep success rates and created systems that prevented costly vacuum equipment damage, reflecting a pragmatic focus on reliability as well as innovation.
12 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physical Chemistry, GPA 4.1 out of 4.0 due to A+'s, Doctor of Philosophy (Ph.D.), Physical Chemistry, GPA 4.1 out of 4.0 due to A+'s at University of Oregon
Master's degree, Physics, GPA 3.9, cum laude degree, Master's degree, Physics, GPA 3.9, cum laude degree at Moscow Institute of Physics and Technology (State University) (MIPT)
English, Russian