Preprocessed 200k Windows Binaries to Control Flow GraphsImplemented various acceleration methods to reduce inference timeLeveraged Graph Neural Networks to classify an executable as benign or malicious

Racecar Subteam - Team 1 LeadOptimized car average lap time by 10x from Follow the Gap using the Disparity Extender algorithmRaced a best lap time of 8.22 seconds on a 75ft track scoring 1st place among all student teams competing

Leveraged data from APS Biophysics Research Papers and associated Abstracts, NRC Active Researchers, and other factors to inform Prof. Andrew Zangwill's work on the growth of Biophysics.

Built a poetry-based Python package for phase and amplitude estimation of provided brain signalsEstimated signal phase and amplitude in using endpoint corrected Hilbert Transforms based on Shreglmann 2021 research papers

Utilized a Deep RNN trained on a dataset of 60gb of labeled normal/abnormal EEG data to detect concussions in individuals post Traumatic Brain Injuries

Worked with industry partners on various projects

Grew 203k+ EMG signal dataset by 5x using feature engineering techniques such as zero crossing, slope sign change, etc.Achieved F1 scores of 1.0 and 1.0 using KNN and Random Forest models for gesture prediction