Jonathan Schultz

Jonathan Schultz is a Research Fellow in the Department of Chemistry at Duke University, affiliated with Trinity College of Arts & Sciences. His research focuses on the intersection of experimental and theoretical chemistry, leveraging multidimensional spectroscopy and machine learning to study electronic coupling pathways and energy conversion mechanisms in molecular systems. He investigates phenomena such as coherence in chemical reactions, vibrational dynamics, and quantum effects in materials science.

His work is supported by a prestigious fellowship from the Arnold and Mabel Beckman Foundation (2023–2026), which funds his exploration of using machine learning to interpret multidimensional spectra. He collaborates with the Chemistry Department at Sungkyunkwan University in South Korea, enhancing his research on molecular aggregates and energy transfer processes.

Key research themes include the development of algorithms to analyze spectroscopic data, understanding excited-state dynamics in organic semiconductors, and advancing methodologies for studying vibronic couplings. His contributions bridge fundamental chemistry with applied computational techniques, offering insights into energy-efficient systems and nanomaterials.