• Lithium battery simulations with Machine Learning Force Field• Electronic structure method development

Developed computational and analytical models to understand and predict light-matter interaction in plasmonic nanostructures and optical cavities.TA Experience: • CHEM 101 (General Chemistry Recitation) • CHEM 523 (Graduate Quantum Chemistry) • CHEM 521 (Graduate Statistical Mechanics) • CHEM 526 (Graduate Chemical Dynamics)

• Staffed 350 members in >30 projects; Implemented comprehensive redesigning of staffing algorithm: expertise and performance data-driven engagements led to faster staffing, reduced dropout rate, and improved client-student alignment

• Directed a 7-member team consulting for a Japanese pharma company (with >$4B revenue) to identify biotech companies in selected hubs for partnership in multiple therapeutic domains• Defined scope; Interfaced with client to streamline workflow. Mentored team with collaboration and presentation skills. Enhanced client-team interaction

• Managed a 13-member team consulting for a trans-Atlantic VC firm (>$800M investments) to assess market landscape of AI/ML in drug discovery and identify investment opportunities. Recommended 10 companies for early-stage investments• Supervised evaluation of finance, tech, pipelines, big-pharma collaborations, and patents of ~50 companies. Developed assessment frameworks. Mentored team with market research and presentation tools

The PGCC Mini-MBA program series aims to equip non-MBA Penn graduate students from diverse backgrounds with valuable perspectives on consulting from the experts in the field while bridging the gap in understanding relevant business concepts.• Planning and executing the Mini-MBA series each semester and connecting with experts in the field across organizations• Structuring the series to optimize contents for consulting, targeted toward non-MBA Penn students• Promoting events and lectures to students across 11 schools at Penn

• Conducted market research to evaluate viability of a blood product for a global biotech company (>$10B revenue)• Analyzed finance and relevant R&D for 9 companies and >10 research labs, assessed safety and cost for 6 potential technologies, and interviewed KOLs in collaboration with teammates to deliver actionable recommendations

Performed computationally cost-effective quantum chemistry-based calculations

Implemented graph theory-based algorithms for chemical applications

Synthesized and characterized transition metal-based complexes via molecular self-assembly