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[1]

  • 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

  • CIS 240: Introduction to Computing Systems

  • CIS 120: Programming Languages and Techniques

  • MATH 114: Multivariable Calculus