Overview
Our research involves the synthesis of compounds, supermolecular assemblies, nano-scale objects, and electronic materials with unusual ground-and excited-state characteristics, and interrogating these structures using state-of-the-art transient optical, spectroscopic, photophysical, and electrochemical methods. Research activities span physical inorganic chemistry, physical organic chemistry, synthetic chemistry, bioinorganic chemistry, spectroscopy, photophysics, excited-state dynamics, spintronics, and imaging. My laboratory: (i) designs chromophores and supermolecules that display exceptional opto-electronic properties and elucidates their excited-state dynamics, (ii) engineers highly conjugated molecular structures for optical limiting, specialized emission, and high charge mobility, (iii) designs conjugated materials and hybrid molecular-nanoscale structures for energy conversion reactions, (iv) develops molecular wires that propagate spin-polarized currents, (v) fabricates emissive nanoscale structures for in vivo optical imaging, (vi) engineers de novo transition metal cofactor-binding proteins that test light-driven biological energy transducing mechanisms and realize opto-electronic functionalities not found in nature, and (vii) designs and interrogates complex molecular and nanoscale assemblies in which ultrafast energy and charge migration reactions are controlled by quantum coherence effects.
Current Appointments & Affiliations
Recent Publications
Nanoparticle-mediated antagonism of sustained endosomal signaling of the calcitonin receptor-like receptor provides enhanced and persistent relief of oral cancer pain.
Journal Article Biomaterials · April 2026 By improving the delivery and tumor retention of chemotherapeutics, nanomedicines hold potential for cancer treatment. The usefulness of nanoparticle (NP)-encapsulated analgesics for the cancer pain treatment is comparatively unexplored. We investigated wh ... Full text CiteDesigning multi-site charge-bifurcation networks in <i>de novo</i> proteins: a kinetic, statistical, and machine-learning approach.
Journal Article Physical chemistry chemical physics : PCCP · April 2026 Electron bifurcation reactions separate electron pairs into high and low potential pools, and these reactions are central to the bioenergetics of living systems. Here, we used kinetic analysis and machine learning to analyze a diverse set of structural and ... Full text CiteEnhancing Spin Coherence in Metallic Single Walled Carbon Nanotubes Utilizing Chiral Perturbations
Preprint · February 12, 2026 Full text CiteRecent Grants
Low Bandgap Optoelectronic and Magneto-Optic Materials Derived from Hybrid Organic/Nanotube Superstructures
ResearchPrincipal Investigator · Awarded by Air Force Office of Scientific Research · 2022 - 2029Collaborative Research: De Novo Protein Constructs for Photosynthetic Energy Transduction
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2014 - 2028Organic, Nanoscale, & Self-Assembled Structures Relevant to Solar Energy Conversion
ResearchPrincipal Investigator · Awarded by Department of Energy · 2009 - 2028View All Grants