- Designed and implemented multiple software modules together with one other colleague for critical features of the automated testing component of a financial trading management system- Analyzed trading order information using statistical learning methods (e.g., supervised machine learning, maximum likelihood estimation) through Python scikit-learn, numpy and pandas. Visualized the results using matplotlib and gnuplot- Improved the efficiency of time conversion modules by more than 10 times

- Improved the performance of a thermoelectric material, Tin Telluride, in converting heat into electricity by a combination of nano-structuring, alloying and doping- Applied computational techniques and developed experimental methods that showed 3-10 times enhancement of Tin-Tellurium nanowires; published three 1st-author papers in top scientific journals- Taught statistical analysis and physics for undergraduate courses