Research Interests 

1. Using Machine Learning to develop global optimization search schemes to predict the structure of new materials and catalysts
2. Using 2-dimensional materials like graphene and borophene to catalyze they synthesis of hydrogen peroxide (H2O2) and phenol
3. Predicting the electronic and structural properties of ultrawide bandgap semiconductors like diamond for usage in high-powered electronics (in collaboration with Dr. Mahesh Neupane at the Army Research Lab)
4. Determining how we break symmetry and synthesize specific chiral enantiomers with heterogenous catalysts for pharmaceutical synthesis (in collaboration with Prof. Peter McBreen at Laval University, QC, Canada)
5. Selectively breaking C-C bonds electrochemically on Pd/Pd-Alloy nanoparticles (in collaboration with Dr. Haan at CSUF)
6. Understand the change in the conceptual and affective domains of learning in Physical Chemistry courses with the addition of flipped classroom instruction, course-based undergraduate research experiences (CURE), and service-learning (SL) (in collaboration with Dr. Villafañe at CSUF)

I am always looking for new students.  No previous computational experience is required to join my group.  Several of these projects are externally funded and I can offer financial support for undergraduate students and MS Chemistry students at CSUF.