Focusing on accelerating the decarbonization of China's power system

• Collected and cleaned the most recent grid mix data (over 2500 high resolution plant data) in the PJM area from the EIA and NEEDS database using R, and parsed as inputs to the PHORUM optimization model• Simulated PJM grid dispatch using the PHORUM model setup in MATLAB, spotted and fixed infeasible solutions, identified a constraint failure and resolved by redefining generator uptime constraints• Conducted research and analyzed the data of various plug-in hybrid vehicles to determine the optimal experimental parameters for vehicles’ life cycle emissions; plug-in hybrid and electric vehicles are now causing fewer social damages than conventional vehicles even in fossil fuel intensive grid areas

Worked as a teaching assistant for Prof. Daniel Armanios on 19678/478-Engineering and Social Justice. I helped Prof. Armanios with course administration, logistics, and grading. I learned a lot during the journey from the course itself and students that leveraging the knowledge in engineering and technology to promote a more equitable world should always be the responsibility of an engineer

• Gathered plug-in hybrid and electric vehicle data including battery specs, fuel efficiency, and driving mileage that correspond to the California Household Travel Survey• Cleaned and parsed trip data from Transportation Network Companies (Uber, Lyft) to represent TNCs’ fleet fuel efficiency and travel behavior (number of trips and daily distance traveled)• Categorized and coded charging events from data provided by EVGo and Chargepoint to understand charging behavior of non-Tesla owners in California

• Explored and reported ongoing plug-in hybrid and electric vehicles’ sales data• Collected State fuel tax data to help establish a hub that traces the source of fuel tax policy, time stamp of the policy, and the proposed usage of the tax for future related research