Academic Researcher & Educator

Most chemical and environmental processes fail to scale not because the chemistry is wrong, but because the engineering is not understood deeply enough to predict behavior under real conditions. My research addresses this directly — building the predictive frameworks, experimental systems, and techno-economic tools needed to take processes from concept to deployable technology.

I work at the intersection of multiphysics modeling, experimental reactor engineering, and advanced materials characterization. Concretely: I design and build reactor systems from components, derive reaction and transport kinetics from experimental data, then build and validate COMSOL and CFD models against those measurements — achieving predictive accuracy within ±5% of experimental results. This closed loop between experiment and simulation is the core of my approach.

Current and recent research spans photocatalytic systems for water treatment and hydrogen production, continuous-flow microreactor design, antimicrobial material development, and AI-driven cost modeling for water infrastructure. Looking forward, I am focused on applying this integrated approach to clean energy systems — particularly hydrogen production pathways, electrochemical process intensification, and sustainable resource recovery — where the gap between lab-scale proof and industrial deployment remains wide and consequential.