A machine learning-driven quantitative hedge fund company.

▪️CMS/CS/Ec/EE 144 - Networks: Structures & Economics (2025 Winter)

▪️CS 38 | CS 138 - Algorithms

This course covers major design techniques such as greedy approach, divide and conquer, dynamic programming, linear programming. Held weekly office hours, review recitations, and graded problem sets and exams.

▪️Ma/CS 6a | 106a - Discrete Mathematics

This is an introductory course in number theory, graph theory, combinatorics, power series and generating functions, and partitions. Held weekly office hours, prepared solutions to problem sets, graded problem sets and exams, and worked with students who need extra help.

Research under Professor Matilde Marcolli, Robert F. Christy Professor of Computing and Mathematical Sciences.

Data analysis on exceptional linear (binary/ternary) codes generated from linguistic syntactic structures on subsets of languages.

Attempts to 1) prove that codes generated from syntactic parameters of languages modeled by a Markov model on a tree lie probabilistically below the Gilbert-Varshamov bound, disproving the hypothesis that languages can be modeled by a Markov model; or 2) capture non-stochastic patterns in the construction of codes from the Longobardi/LanGeLin and SSWL language database.