CV
Basics
Name | Reza Arabpour |
Label | Faculty Affiliate Researcher |
arabpour@mcmaster.ca | |
Url | https://arabporr.com/ |
Summary | MSc candidate in Computational Science & Engineering at McMaster University with expertise in geometric deep learning and computational finance. Faculty Affiliate Researcher at Vector Institute focusing on Parameter-Efficient Fine-Tuning and hypernetworks for stochastic processes. |
Work
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2023.09 - Present Graduate Teaching Assistant
McMaster University
Teaching Assistant for graduate and undergraduate courses in Mathematics and DeGroot Business School. Courses include MFM 714 (Topics in Risk Management), MFM 713 (Computational Finance II), MFin 704 (Numerical Methods in Finance), Math 1MP3 (Introduction to Mathematical Scientific Computation).
- Python
- Machine Learning
- Mathematics
- Teaching
- Problem Solving
- Credit Risk Management
- Risk Management
- Time Series Analysis
- SQL
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2023.07 - Present Faculty Affiliate Researcher
Vector Institute for Artificial Intelligence
Advancing research in geometric deep learning and foundation models. Developing parameter-efficient fine-tuning methods for large language models.
- Problem Solving
- Geometric Deep Learning
- Foundation Models
- Large Language Models (LLM)
- Deep Learning
- PEFT
- Machine Learning
- Algorithm Design
- Research Skills
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2023.06 - Present Graduate Research Assistant
McMaster University
Working on improving novel deep learning architectures like hypernetworks. Optimizing foundation models (fine-tuning) for computational efficiency and effectiveness. Utilizing mathematical properties of underlying models and data functions.
- Python
- Parallel Computing
- Geometric Deep Learning
- Foundation Models
- LLMs
- PEFT
- HyperNetworks
- Mathematics
- Finance
- Fine Tuning
- Deep Learning
- Machine Learning
- GPU
- TensorFlow
- PyTorch
- Transfer Learning
- Problem Solving
- Research Skills
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2021.09 - 2021.11 Business Creation in Stock Market (Internship)
Omid Group
Completed 100+ hours of training on financial market structures in Tehran Stock Exchange. Workshops on financial markets, global economy, and asset management industry. Proposed business creation ideas judged as final projects (2nd place among 30 participants).
- Financial Planning
- Financial Markets
- Microsoft Excel
- Project Management
- Teamwork
- Financial Analysis
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2021.02 - 2023.01 Quantitative Researcher and Co-Founder
Failed Startup
Founded a startup with five professionals researching statistical arbitrage in FX and gold markets. Created multiple strategy baskets using genetic algorithms and fuzzy logic. Applied 24 well-rounded trading agents with proprietary framework across different time frames. Performed Monte-Carlo simulations measuring performance in Drawdown, VaR, Sharpe ratio metrics.
- Quantitative Finance
- Machine Learning
- Statistical Learning
- Statistical Data Analysis
- Algorithmic Trading
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2020.01 - 2023.01 Teaching Assistant
University of Tehran
Teaching Assistant for various computer science and mathematics courses including Introduction to Data Structures and Algorithms, Introduction to Graph Theory, Advanced Programming using C++, Fundamentals of Programming in Python for Mathematics/Statistics and Physics departments.
- C++
- Object-Oriented Programming (OOP)
- Graph Theory
- Algorithm Design
- Data Structures
- Problem Solving
- Bash
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2018.07 - 2018.09 Back End Developer (Internship)
Rahnema College
Seven-week internship program developing 'Akaskhoone' project - an image-based social media app combining Instagram and Pinterest features. Used Python and Django Framework for mobile devices. Responsible for users' profile section and automated Python tests.
- Python
- Django
- Test Driven Development
- Soft Skills
- Teamwork
- Problem Solving
Education
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2023.09 - 2025.09 Master of Science
McMaster University
Computational Science and Engineering
- Geometric Deep Learning (Hypernetworks) for Time-Series data
- Parameter-Efficient Fine-Tuning (PEFT) LLMs
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2018.09 - 2023.03 Bachelor of Science
University of Tehran
Applied Mathematics
- Mathematical Modeling
- Computational Methods
Awards
- 2025
ICML 2025 Workshop Acceptance - LoRA Fine-Tuning Without GPUs
ICML 2025 Workshop on Efficient Systems for Foundation Models
Paper accepted on CPU-efficient LLM fine-tuning methodology
- 2024
Fields Institute Mathematical Finance Conference Presentation
Fields Institute
Presentation at Mathematical Finance Conference
- 2023
McMaster University Full Scholarship for MSc Program
McMaster University
Full scholarship for MSc program with 3.9/4.0 GPA
- 2022
Amazon Udacity Scholarship - AWS Machine Learning Foundations
Amazon/Udacity
Scholarship for AWS Machine Learning Foundations course
- 2022
- 2021
2nd Place - Omid Group Business Creation Competition
Omid Group
2nd place among 30 participants in business creation competition
- 2018
Bronze Medal - ACM ICPC West Asia Regional Contest
ACM International Collegiate Programming Contest
Bronze medal in ACM ICPC West Asia Regional Contest
Publications
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2025.07.02 LoRA Fine-Tuning Without GPUs: A CPU-Efficient Meta-Generation Framework for LLMs
ICML 2025 Workshop on Efficient Systems for Foundation Models
Novel CPU-efficient approach to LLM fine-tuning using meta-learning. Accepted July 2, 2025. arXiv:2507.01806 (submitted June 30, 2025).
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2024.05.30 Low-dimensional approximations of the conditional law of Volterra processes: a non-positive curvature approach
Under review at Analysis and Applications
Under review at Analysis and Applications journal. Mathematical finance and deep learning intersection, novel dimension reduction technique for Volterra processes. arXiv:2405.20094 (submitted May 30, 2024).
Skills
Programming Languages | |
Python (Advanced) | |
C++ (Proficient) | |
SQL (Intermediate) | |
Bash/Shell Scripting |
ML/AI Frameworks | |
TensorFlow | |
PyTorch | |
Scikit-learn | |
Transformers (Hugging Face) |
Financial Tools | |
Excel | |
Pandas/NumPy |
Development Tools | |
Git/GitHub | |
Docker | |
Jupyter Notebooks | |
VS Code | |
Linux/Unix Systems |
Languages
English | |
Professional |
Persian | |
Native |
Certificates
Deep Learning + Reinforcement Learning Summer School | ||
CIFAR | 2024-07 |
AWS Machine Learning Foundations 2022 | ||
Udacity | 2022-10 |
Algorithmic Trading with Python | ||
IFC (Iran Financial Center) | 2022-07 |
Marketing Management | ||
Edge Digital Branding Institute | 2021-09 |
Principles of Branding/Digital Branding | ||
Edge Digital Branding Institute | 2021-03 |
Deep Learning and Neural Networks | ||
Shahid Beheshti University | 2020-04 |
Internet of Things Summer School | ||
IEEE University of Tehran Student Branch | 2019-10 |
Volunteer
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2024.09 - 2025.01 CSE Seminar Committee
McMaster University
Organized bi-weekly talk sessions in fall 2024 semester. Contacted guest speakers from various fields and universities. Planned speaker commute and handled booking and catering responsibilities.
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2021.03 - 2022.03 Editorial Board Member
University of Tehran
Part of team working on university-level student publication 'Jong-e Riazi'. Published 12th edition, responsible for Applied Mathematics section. Jong-e Riazi is one of the oldest publications in faculty of mathematics, statistics, and computer science.
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2019.12 - 2019.12 Event Photographer
University of Tehran
Event photographer for Yalda Celebration in faculty of science. Yalda is Persian celebration for longest night of year with traditional instruments and Hafez poems.
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2019.11 - 2019.12 Executive Assistant and Event Photographer
University of Tehran - Music Center
Planned and directed weekly sessions reviewing essential music theory concepts. Covered origin of music and instruments in 'Kannon-e Mosighi' (Music center). Located in faculty of science.
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2018.12 - 2018.12 Sales Assistant
Iranian Hemophilia Association
Two-week fundraising campaign for hemophilia patients' families. Collected funds to help families stay in Tehran and pay medical expenses.
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2018.09 - 2020.03 Coordinator of Volunteers
Iranian Hemophilia Association
Invited more than 20 members to join volunteer activities. Coordinated volunteer efforts for hemophilia support programs.
Interests
Research | |
Geometric Deep Learning | |
Computational Finance | |
Parameter-Efficient Fine-Tuning | |
High-Performance Computing |
Hobbies | |
Coffee | |
Hiking | |
Photography | |
Classical Music |