Zach James

Research

p-Laplacian semi-supervised regression on graphs Frontiers in Applied Mathematics and Statistics

Co-authored. Novel graph-based semi-supervised ML methods for body composition prediction from limited labeled data.

Software

Languages C, C++, Python, JavaScript, PHP, SQL
Web / Systems React, Firebase, Tailwind, REST, WASM, full-stack delivery
ML / DS PyTorch, scikit-learn, NumPy, semi-supervised methods
Thymos (in progress): Zero-dependency C runtime for typed tensor graphs and memory-planned execution. Targets edge (C, arenas, multithreading). [C, planned CUDA]
OpTraxx — Full-stack task management (React, Firebase, Vite, Tailwind)
AWS Certified Cloud Practitioner

Security

pwn.college — Heap/stack exploits, shellcoding, ROP, kernel primitives [x86 ASM, C]
Active: Hack the Box, OpenSecurityTraining2 (OST2)
CompTIA Security+
Reverse Engineering

SQL Slammer (376-byte worm) →

Michelangelo.DOS (MBR boot virus) →

DOS7 (INT 3/21h infector) →

mystery64 (x86_64 ELF beacon) →

xchg rax, rax ("black book") – 64 x86 puzzles
ReversingHero – xorpd reversing training materials

Education

Louisiana State University — B.S. Mathematics (Honors Minor)  ·  Baton Rouge, LA May 2026
Mathematics Coursework
Honors Calculus Sequence: Honors Differential & Integral Calculus (MATH 1551), Honors Analytic Geometry & Calculus II (MATH 1553), Multidimensional Calculus (MATH 2057)
Advanced Calculus: Advanced Calculus I (MATH 4031), Advanced Calculus of Several Variables (MATH 4035)
Abstract Algebra: Abstract Algebra I (MATH 4200), Abstract Algebra II (MATH 4201)
Differential Equations & Linear Algebra: Elementary Differential Equations & Linear Algebra (MATH 2090)
Probability & Statistics: Probability (MATH 3355), Mathematical Statistics (MATH 4056)
Numerical & Applied Mathematics: Numerical Methods (CSC 2262), Numerical Linear Algebra (MATH 4064), Numerical Analysis (MATH 4065), Optimization Theory – Applications (MATH 4025)
Other: College Algebra (MATH 1021), Plane Trigonometry (MATH 1022), Vertically Integrated Research (MATH 4997)
Louisiana State University — B.S. Computer Science (Minor: Psychology)  ·  Baton Rouge, LA May 2026
Computer Science & Math-Heavy Technical Coursework
Core Theory & Foundations: Discrete Structures (CSC 2259), Advanced Data Structures (CSC 3102), Introduction to Competitive Programming (CSC 2700 – multiple semesters)
Systems: Computer Organization and Design (CSC 3501), Operating Systems (CSC 4103), Computer Networks (CSC 4501), Software Systems Development (CSC 4330), Introduction to Database Management Systems (CSC 4402)
Artificial Intelligence & Languages: Artificial Intelligence (CSC 4444), Programming Languages (CSC 4101)
Security & Low-Level: Malware Analysis and Reverse Engineering (CSC 4360)
Awards & Activities: Honors College, Dean’s List, President’s Honor Roll, S&B Engineers Scholarship, ICPC Competitive Programming team, Startup LSU, CTO of LSU’s Emerging Technologies Club
Southern Methodist University — M.S. Computer Science, Cybersecurity  ·  Dallas, TX Incoming (part-time, Fall 2026)

Archive

Selected notes from ongoing reading across philosophy, organizational theory, and literature.