Our Team

Professor Dan is an innovative materials scientist and engineering researcher who brings multidisciplinary expertise to The Standard School of Machine Learning (TheSSML). With a strong background in electrical engineering, photonic energy conversion, nanomaterials, and advanced material systems, he contributes cutting-edge knowledge at the intersection of physics, chemistry, and computational design. His academic journey spans leading institutions—earning his B.S. and M.S. from Iowa State University, a PhD in Electrical Engineering from MIT, and postdoctoral research in Chemical Engineering at MIT—culminating in impactful work at the Rowland Institute before joining Stanford University’s faculty.

Professor Dan’s research focuses on engineering novel nanomaterials to address complex technological challenges, with particular emphasis on photonic energy conversion mechanisms such as singlet fission and triplet fusion, and emerging materials including perovskite nanoplatelets. His innovations have earned him distinguished recognitions such as the Moore Inventor Fellowship, the Sloan Research Fellowship, and the Intel Rising Star Award. Beyond academia, he co-founded Quadratic3D, a startup dedicated to advancing next-generation 3D printing technologies, reflecting his commitment to translating scientific discovery into practical applications.

At TheSSML, Professor Dan integrates nanomaterial engineering with data-driven modeling and machine learning techniques, guiding students as they explore the future of materials innovation, advanced device engineering, and intelligent systems that tackle real-world challenges.