About Me
Hello! Welcome to my own personal site. I am a Carnegie Mellon University undergraduate, class of 2019, majoring in Mathematics, with an anticipated major in Computer Science and minor in Computational Finance.
Quick Links
Here's a link to my resume.
15-122 Teaching Assistant (Spring Semester 2017 - Present)
CMU School of Computer Science

I love being able to mentor others in the subjects I am passionate about. My responsibilities as a teaching assistant involve grading homework and exams, leading weekly lab sessions, and helping students with homework or conceptual problems in office hours.

Data Scientist (Sept. 2014 - Aug. 2015)

I created R scripts for statistical analyses on sales data in order to predict which prospective customers will buy from our clients" sales team. I also developed a company specific library of R functions to assist in developing statistical models for our clients and presented analysis results to current and potential investors.

Hypercubes Research

I am currently being advised by David Offner for math research on hypercubes. A coloring of the $l$-dimensional faces of a hypercube $Q_n$ is called $d$-polychromatic if every embedded $Q_d$ has every color on at least one face. Denote $p^{l}_d$ as the maximum number of colors such that any $Q_n$ can be colored in this way. My current venture is determining a lower bound for $p^{l}_d$ for $l > 1$ that is better than current known ones.

Transcribe & Disseminate Public Safety Transmissions in Real Time

Winner of the Harris Award at HackCMU 2015.

Walkthrough on Building an Algorithmic Trading Strategy

Practical Data Science (15-388) final project.

NBA Data Extraction & Visualization Tutorial

Practical Data Science (15-388) tutorial project.

Game of Go Engine + Basic AIs

Fundamentals of Programming and CS (15-112) term project.

Mathematics & Finance
  • **21-355 Real Analysis I
  • **21-301 Combinatorics
  • **21-270 Introduction to Mathematical Finance
  • **21-260 Differential Equations
  • 21-373 Algebraic Structures
  • 21-325 Probability
  • 21-295 Putnam Seminar
  • 21-269 Vector Analysis
  • 21-242 Matrix Theory
  • 21-128 Mathematical Concepts and Proofs
Computer Science
  • **15-213 Introduction to Computer Systems
  • 15-388 Practical Data Science
  • 15-251 Great Theoretical Ideas in Computer Science
  • 15-150 Functional Programming
  • 15-122 Principles of Imperative Computation
  • 15-112 Fundamentals of Programming and Computer Science
** Enrolled in Spring 2017