academics

thm 3.0: education ∩ courses ∩ skills

education

remark 3.1: the formal training of the mind

education

Illinois Institute of Technology

degrees:

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

minor:

  • Computer Science

specializations:

  • Discrete Applied Math
  • Stochastics
  • Mathematical Finance

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

favorite classes

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

courses

thm 3.1: courses ∈ {applied math, ai, data science, computer science, ...}

applied mathematics

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

artificial intelligence

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Data Preparation and Analysis
  • Data Mining
  • Natural Language Processing
  • Information Retrieval
  • Big Data Technologies
  • Algorithms
  • Data Structures
  • Database Organization
  • Functional Programming
  • Game Theory (Audit)

fall 2026 + spring 2027

  • Social Graph Analysis & Graph Learning
  • Agentic AI for Campus Innovation
  • Statistics
  • Data Ethics and Responsible AI

other

  • Financial Derivatives
  • Quantum Computing
  • AI, Philosophy and Ethics
  • Politics of Science and Technology
  • Science and Technology Studies
  • Deep Technology Commercialization
  • Language Theory in NLP
  • The Human Voice
  • Economics of Capital Investments
  • Principles of Economics

skills

prop. 3.1: the tools in the toolkit

mathematics

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

other skills

Generative AI Operations Research Stochastic Modeling

ai & machine learning

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

python stack

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

programming languages

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

r stack

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