Currently pursuing a B.S.E. in Computer Science through the School of Engineering
Intern--Intel Network Systems Group. Conducted research into AI architecture, algorithms, and optimization for time series forecasting
Teaching Assistant--CIS 160. Discrete Math course for computer scientists. Responsibilities include grading, writing problems and solutions, teaching recitation, and holding office hours.
Intern--Translational Genomics Research Institute. Worked under Dr. Seungchan Kim to computationally model and study Gene Regulatory Networks.
Lead Developer--Echelon Labs. Built REST API that allowed users to interface with a machine learning backend and interact with a node on a database.
Identifying Pathways Enriched with Differential Dependencies using LASSO--Used statistical methods to reconstruct Gene Regulatory Networks from gene expression data and compare networks across cell classes to find targets for drug discovery
A Novel Graph Theory Based Approach for Identifying Drug Discovery Targets in Computationally Derived Gene-Regulatory Networks (cGRNs)--Used graph theory methos to analyze gene regulatory networks and predict which genes exhibit the most control over the network, which could make them possible drug candidates.
A Multimodal Natural User Interface for People with Severe Motor Disabilities-- A computer vision solution to allow people with severely reduced mobility to control a keyboard and mouse system using facial muscles and eye movements.
I2C: Devices for the Disabled--Prototyped several MEMS-based solutions for translating movement into keyboard inputs for people with severe motor disabilities
CIS 262: Theory of Computation
CIS 121: Data Structures and Algorithms
CIS 160: Mathematical Foundations of Computer Science