William Mitchell

M.Eng. '23 & B.S. '19, Computer Science and Engineering

Minor: Mathematics

M.Eng. GPA 4.5/5.0 · B.S. GPA 4.3/5.0

Coursework: Statistical Data Analysis, Probability & Random Variables, Machine Learning, Natural Language Processing, Design & Analysis of Algorithms, Linear Algebra

M.S., Cybersecurity

GPA 4.0/4.0

Coursework: Machine Learning for Trading, Computer Networks, Applied Cryptography, Binary Exploitation Laboratory

• Led cross-functional teams in Applied AI and Unix software development conducting low-level vulnerability research and engineering proof-of-concept exploits for sophisticated networking devices and protocols.
• Owned the full development lifecycle for mission-critical technical capabilities, including real-time state verification and validation in live execution environments.

• Developed a multi-stage quantitative pipeline to ingest and analyze ~30,000 unstructured news articles, transforming qualitative events into structured time-series signals.
• Demonstrated that frequency-based and decomposition methods (Singular Spectrum Analysis) captured structural shifts in news activity, while sentiment-based signals were primarily reactive.

• Built and led a new technical program for personnel deployed in high-stakes environments.

• Refactored core components of a Simulink/MATLAB model for the Multi-Object Kill Vehicle (MOKV) program to optimize simulation state-handling and performance testing.
• Modeled environmental sensor inputs to simulate real-world physical constraints and improve the predictive accuracy of trajectory interceptor models.

• Taught core algorithmic concepts and statistical methods to 100+ students in MIT's Intro to CS & Programming in Python and Intro to Data Science courses.

• Engineered predictive missile-trajectory models and real-time GUI visualization tools in MATLAB.