Leverage advanced data processing, analysis, data visualization techniques, and Python to accurately detect underlying anomalies during a DDoS attack. Developed a novel approach to detect DDoS attacks that are being used as a smokescreen for larger attacks through dataset collection and reducing bias and increasing variance in training models

Seeking companies within the Artificial Intelligence and Data Science fields to sponsor and host events for our club members. These events and workshops will help demystify AI and introduce participants to it's wonders. Continue to be a liaison between AIS and the company by understanding the needs of the industry and providing excellent communication.

AIMD is a club focused on Artificial Intelligence in the field of medicine. The goal of this club is to foster a community of pre-med and tech-oriented students interested in bridging the gap between AI and medicine through weekly meetings, ML workshops, and networking events with guest speakers.

Developed the Weighted PageRank algorithm to improve the traditional Google PageRank algorithm to minimize bias and unfairness and randomly generate an unbiased dataset to simulate various degrees of homophily of groups of webpages.

Mentored students and taught advanced mathematical concepts in Linear Algebra, Combinatorics, and Abstract Algebra. Worked with the director of the program to plan numerous camp-wide events for 120+ people.

Verified communication between distributed artificial intelligence systems using C++. Determined optimal use cases for both methods with applications in bioinformatics to verify genetic array systems for Comparative Genomic Hybridization arrays.

Extended the work of knot theory researchers, Bae and Morton, on the Jones Unknot Conjecture and calculated the Jones Polynomial for the Trefoil Knot.