Doc TS

Conducts research, literature reviews, technical analysis, and scientific/technical writing for international clients across chemistry, AI/ML, technology, and interdisciplinary topics. Completed a 2024 research project on AI and machine-learning applications in chemistry.

Led theoretical and computational chemistry research on porphyrins, solar-cell related systems, reaction mechanisms, and molecular/electronic materials. Supervised undergraduate and graduate researchers and managed computational research activities.

Performed computational studies of porphyrins, catalysis, reaction mechanisms, adsorption, surface chemistry, and solar-cell related systems using DFT and ab initio methods. Published peer-reviewed research and presented findings internationally.

Taught organic chemistry and related advanced chemistry topics while conducting DFT and ab initio studies of organic reaction mechanisms, alkane activation, cage compounds, and computational physical chemistry.

Modeled anode fuel-cell catalysts, heterogeneous surface reactions, reaction kinetics, and mechanistic pathways using computational methods. Developed scientific software and contributed to interdisciplinary computational research.

Habilitation in Theoretical and Computational Chemistry, completed in 2018.

Grade: excellent (magnum cum laude)

PhD in Computational Organic Chemistry, with thesis on quantum-chemical study of alkane activation with electrophiles. Grade: excellent (magnum cum laude).

M.Eng. in Chemical Engineering with focus on Organic Chemistry, thesis on DFT and ab initio study of alkane activation.

B.Sc. in Chemical Engineering.