TEACHING

Teaching and mentoring activities in AI, machine learning, and computational finance.

Teaching Experience

As a Teaching Assistant at McMaster University, I have supported over 500 undergraduate students across multiple graduate and undergraduate courses, focusing on machine learning, computational finance, and mathematical computation. My teaching philosophy emphasizes bridging theoretical foundations with practical applications, helping students develop both conceptual understanding and hands-on programming skills.

Current Teaching Roles

Graduate Teaching Assistant - McMaster University (2023 - Present)

Graduate-Level Courses:

  • MFM 713 - Computational Finance II (Dr. Anastasis Kratsios)
    • Numerical solutions to PDEs and SDEs
    • Exotic and path-dependent options pricing
    • Free boundary problems for American options
  • MFM 714 - Topics in Risk Management (Dr. David Lozinsky)
    • Credit risk capital and counterparty risk
    • Risk in retail portfolios
    • Algorithmic and high-frequency trading (HFT)
    • Financial technologies and applications
  • MFin 704 - Numerical Methods in Finance (Dr. Michael Milewski)
    • Financial data processing pipelines
    • Data integration from Yahoo Finance API and Bloomberg
    • Insightful analysis and reliable forecasting methods

Undergraduate Course:

  • Math 1MP3 - Introduction to Mathematical Scientific Computation (Dr. Erin Clements)
    • Selected as TA 4 times in a row due to excellent performance
    • Python programming and scientific computing
    • Supporting 500+ students with both instructor and student satisfaction

CSE Seminar Organizer (Fall 2024)

  • Organized bi-weekly Computational Science & Engineering seminars
  • Contacted and invited guest speakers from various fields and universities
  • Planned speaker commute and handled all booking and catering responsibilities
  • Bridged cutting-edge research with real-world applications

Previous Teaching Experience - University of Tehran (2020-2022)

Computer Science Courses:

  • Data Structures and Algorithms (Dr. Mohammad Ganjtabesh)
  • Advanced Programming in C++ (Dr. Hedieh Sajedi)
  • Introduction to Graph Theory (Dr. Morteza Mohammad Nouri)
  • Fundamentals of Computer Science and Programming (Dr. Zaynab Mousavian)

Physics Course:

  • Fundamentals of Programming (Dr. Zaynab Mousavian)

Areas of Expertise

Machine Learning & AI

  • Geometric Deep Learning: Hypernetworks and manifold-based approaches
  • Parameter-Efficient Fine-Tuning (PEFT): Making LLMs more accessible and sustainable
  • High-Performance Computing: Multi-GPU optimization and parallel algorithms
  • Neural Architecture Design: Advanced architectures for complex problems

Computational Finance

  • Stochastic Processes: Volterra processes and low-dimensional approximations
  • Quantitative Modeling: Monte Carlo methods and evolutionary algorithms
  • Algorithmic Trading: Strategy development and backtesting frameworks
  • Risk Management: Portfolio optimization and financial derivatives

Programming & Tools

  • Python: Advanced PyTorch, TensorFlow, HuggingFace Transformers
  • Scientific Computing: NumPy, SciPy, Pandas, Statsmodels
  • High-Performance Computing: Multi-GPU programming, distributed systems
  • Financial Tools: Quantitative libraries, Bloomberg API, backtesting frameworks
  • Development Tools: Git, Linux servers, Docker, AWS, web scraping
  • Languages: C, C++, Python, R, MATLAB, Bash scripting, SQL

Student Mentoring & Leadership

I actively mentor students at various levels and take on leadership roles:

Academic Mentoring:

  • Graduate Students: Research methodology and publication strategies
  • Undergraduate Students: Python programming and machine learning fundamentals
  • Research Collaborators: Industry-academia collaboration and career development

Leadership Experience:

  • CSE Seminar Committee (McMaster University, Fall 2024): Organized bi-weekly seminars
  • Editorial Board Member (University of Tehran, 2022): Applied Mathematics section of “Jong-e Riazi” publication
  • Volunteer Coordinator (Iranian Hemophilia Association, 2018): Organized fundraising and volunteer activities

Available for Collaboration

I’m available for guest lectures, workshops, and collaborative teaching on:

  • AI applications in computational finance
  • Parameter-efficient fine-tuning and sustainable AI
  • High-performance computing in machine learning
  • Career development in AI research

For teaching opportunities or collaboration, please feel free to reach out via email.