Summary
Daniel Smolkin is a research software engineer with 12 years blending rigorous mathematical research and production software practice, currently applying his expertise at Onto Innovation in Ann Arbor. Trained as a mathematician (PhD) and formerly a math postdoc at the University of Michigan, he excels at turning deep theoretical insight into robust, reproducible code for scientific problems. His background spans academic research, teaching, web content management, and industry internships, giving him a rare mix of clear technical communication and hands-on engineering. Colleagues rely on him to bridge abstract models and practical implementations, and he is motivated by a desire to deeply understand systems and leave them better than he found them.
12 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.), Mathematics, Physics, Bachelor of Science (B.S.), Mathematics, Physics at University of Michigan
The University of Utah
Japanese, Russian