Dylan Spektor

Undergraduate Student · University of Colorado Boulder

I'm a computer science and applied math student exploring quantitative finance, algorithmic economics, and everything math. Currently working on an innovative prediction market prototype.

📍 Boulder, CO · dylan.spektor@colorado.edu

GitHub LinkedIn Resume (PDF)

News

Summer 2026 Working on a prediction market prototype.

Math interests: Lean 4, Erdos problems, random matrix theory (Hilbert-Polya conjecture).
April 2026 Completed three Spring semester projects: a pairs trading strategy, a report on the Riemann Hypothesis, and Virtrade.
December 2025 Switched from physics to math because numbers are sooo much cooler.
October 2025 Joined the CU Quants club as a quantitative developer.
August 2025 Started my undergrad at CU Boulder, originally majoring in Computer Science and Engineering Physics.

Projects

Pairs Trading With GMM-MinHash Regime Signaling

Original pairs trading strategy developed with advanced data science techniques. Apply Gaussian Mixture Models for regime signaling and MinHash for historical return predictions to provide combined trade signals on cointegrated equity pairs in the S&P 500.

GitHub Repo | Report | Presentation Video (unenthusiastically delivered on ≪8 hours of sleep)

Featured Statistical Arbitrage Data Science Python Random Forest Backtesting

Zeroes of the Riemann Zeta Function and Spectral Statistics of Random Matrices

Complex variables report co-authored with Andrew Yang and Ari Clark. Explains properties of Riemann zeta function through complex analytic methods and explores Gaussian and Circular Unitary Ensembles from random matrix theory as an approach towards solving the Riemann Hypothesis.

Slides | Report

Featured Complex Analysis Random Matrix Theory Spectral Statistics

Virtrade

Paper trading web application with real-time market data integration. Users can buy/sell simulated positions to build trading intuition and climb the leaderboard. Built as a group project for CSCI 3308.

Rest APIs Node.js Express Flask PostgreSQL Docker Git

External Quantum Efficiency Degradation in Perovskite Cells

Experimental physics research collaboration with NLR (formerly NREL) studying the degradation of perovskite solar cells under stress. Performed bootstrapped analysis of degradation rates to demonstrate highly statistically significant effect of electron transport layer application method on degradation.

Physics Python Statistical Modeling Data Analysis

Chemical Inventory Management System

Desktop application intended for use by chemical laboratories to track, search, filter, and generate audits of their inventories. Includes UI customization settings, several concurrent windows, descriptive error handling, and file handling. Created from scratch using JavaFX framework and object-oriented Java principles.

Java Object-Oriented Programming

Resume

last updated April 2026

Download PDF

Education

2025 – Present

B.S. Computer Science

University of Colorado Boulder

2025 – Present

B.S. Applied Math

University of Colorado Boulder

Featured Coursework

CSCI 4022: Advanced Data Science
APPM 4600: Numerical Methods & Scientific Computing
CSCI 3155: Principles of Programming Languages
APPM 4360: Complex Variables
CSCI 3104: Algorithms
CSCI 3308: Software Development

Contact

Best way to reach me is email: dylan.spektor@colorado.edu.
I'm also on GitHub and LinkedIn.