academics

thm 3.0 — courses ∪ skills ∪ education

education

def. 3.1 — the formal training of the mind
i.

education

Illinois Institute of Technology

degrees:

  • Bachelor's in Applied Mathematics
  • Bachelor's in Data Science
  • Master's in Artificial Intelligence

minor:

  • Finance

specializations:

  • Discrete Applied Math
  • Mathematical Finance
  • Stochastics
ii.

computer skills

programming languages

Python, LaTeX, R, Java, Julia, Haskell, HTML, CSS, SQL

music software / daws

Audacity, Ableton Live, Reaper, Musescore

graphic design software

Photoshop, Illustrator, Affinity

other

DaVinci Resolve, Spline

iii.

favorite classes

  • Stochastic Processes
  • AI Language Understanding
  • Abstract Algebra
  • Modern Methods in Discrete Applied Math
  • ODEs and Dynamical Systems
  • Stochastic PDEs
  • Data Mining
  • Real Analysis
  • Information Retrieval
  • Data Preparation and Analysis
  • Mathematical Modeling

courses

thm 3.1 — courses ∈ {applied math, ai, finance, …}

applied mathematics

  • Modern Methods in Discrete Applied Mathematics
  • Stochastic Partial Differential Equations
  • Graph Theory
  • Monte Carlo Methods in Finance
  • Stochastic Processes
  • Linear Optimization
  • Computational Math
  • Abstract Algebra
  • Real Analysis
  • Combinatorics
  • Probability
  • Discrete Mathematics
  • ODEs and Dynamical Systems
  • Mathematical Modeling
  • Elementary Linear Algebra
  • Multivariate and Vector Calculus
  • Intro to Data Science
  • Functional Analysis (Audit)
  • Complex Analysis (Audit)
  • Computational Algebraic Geometry (Audit)

artificial intelligence

  • AI Language Understanding
  • Information Retrieval
  • Machine Learning
  • Deep Learning
  • Data Mining
  • Data Preparation and Analysis
  • Artificial Intelligence
  • Functional Programming (Haskell)
  • Algorithms
  • Data Structures
  • Database Organization
  • Game Theory (Audit)

finance

  • Economics of Capital Investments
  • Principles of Economics

other

  • Deep Technology Commercialization
  • AI, Philosophy and Ethics
  • Language Theory in NLP
  • Science and Technology Studies

spring 2026

  • Big Data Technologies
  • Advanced Artificial Intelligence
  • Financial Derivatives
  • Quantum Computing
  • The Human Voice
  • Politics of Science and Technology
  • Stochastic Analysis (Audit)

skills

prop. 3.1 — the tools in the toolkit

mathematics

Stochastic Processes Analysis Graph Theory Abstract Algebra Monte Carlo Methods Stochastic PDEs Linear Optimization Combinatorics Probability Mathematical Modeling Dynamical Systems Mathematical Finance

ai & machine learning

Natural Language Processing Deep Learning Machine Learning Reinforcement Learning Data Mining Statistical Learning Computer Vision

python stack

PyTorch scikit-learn JAX NumPy pandas matplotlib SciPy NLTK NetworkX HyperNetX BeautifulSoup PySpark Streamlit

r stack

tidyverse data.table glmnet boot gam keras caret e1071 rpart foreach dbscan pROC Matrix pls

programming languages

Python R Julia C++ Java LaTeX MATLAB Mathematica HTML CSS JavaScript SQL Haskell

other skills

Generative AI Operations Research Stochastic Modeling Discrete Mathematics