• Currently leading a team to research and develop a quad-motor controls algorithm composed of longitudinal control, lateral control, and slip control.

• Surveyed existing research done on vehicle dynamics and torque vectoring algorithms to develop a custom torque vectoring drive algorithm including power limiting, an active software differential, and a traction optimization module.• Wrote embedded-C code on the STM32 board to implement the custom driving algorithm.• Developed a test plan and led testing, data collection, and validation of the torque vectoring algorithm performance across multiple test days.

- Brought up reliability tests including wire harnessing, mechanical assembly of busbar configurations, and mechanical test jig setup- Performed data analysis to infer fatigue damage over time of power-path connectors- Extrapolated test data and compared with in-field data to get a reliability estimate for deployed battery systems- Individually performed test setup including designing and assembling liquid cooling loop, and executed test for validating thermal performance of 195Ah battery system under high C-rate customer load profiles

• Facilitated hardware and software testing for safety-critical battery management systems.• Developed a thermal model of the pre-charge system of the battery pack to control the pre-charge current.• Added wiring and sensors to extend functionality of a hardware-in-the-loop test bench for the battery management system software.• Developed a thermistor emulation PCB to extend test coverage of the battery cell simulator test bench.

Surveyed existing research in functional brain networks to develop a script in both Python and MATLAB to perform Constrained Principal Component Analysis on brain fMRI data, and extract functional brain network components.