Summary
Jonathan Smith is a multidisciplinary physical chemist and data scientist with nine years in higher education leadership and a 30+-publication track record studying highly excited molecules, open-shell radicals, and their time-resolved vibrational signatures. As Professor of Instruction at Temple University and Visiting Professor at the University of Oslo, he merges ab initio dynamics, quasi-classical trajectories, and spectroscopy with machine learning (neural nets and Gaussian processes) to extract mechanistic insight from experimental and computational data. He codes research tools in Python, Ruby, and Java to bridge open-source and commercial software, and has a strong record mentoring undergraduates into competitive PhD, MD, and industry roles. Beyond traditional spectroscopy, he applies photonics and signal processing to collect novel datasets and leverages NLP and broader data-science methods to interrogate scientific problems. Known for building collaborative international research programs and integrating computational chemistry into curriculum and infrastructure, he brings both deep disciplinary expertise and practical implementation experience.
9 years of coding experience
27 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physical Chemistry, Doctor of Philosophy (Ph.D.) Physical Chemistry at Wesleyan University
BS Chemistry, BS Chemistry at Bates College
French, Norwegian