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 DeGroote School of Business.
- MFM 714: Topics in Risk Management
- MFM 713: Computational Finance II
- MFin 704: Numerical Methods in Finance
- Math 1MP3: Introduction to Mathematical Scientific Computation
- Supported 500+ students across two departments
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2023.07 - Present Faculty Affiliate Researcher
Vector Institute for Artificial Intelligence
Advancing cutting-edge research in geometric deep learning and foundation models. Developing innovative parameter-efficient fine-tuning methods for large language models, focusing on CPU-optimization and meta-learning approaches.
- Published ICML 2025 Workshop paper (arXiv:2507.01806)
- Volterra processes research under review at Analysis and Applications
- Collaboration with McMaster University and Fields Institute
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2023.06 - Present Graduate Research Assistant
McMaster University
Conducting research on novel deep learning architectures, particularly hypernetworks for financial time series modeling. Optimizing foundation models through parameter-efficient fine-tuning techniques.
- Thesis: Geometric Deep Learning (Hypernetworks) for Time-Series Data
- Supervisor: Prof. Anastasis Kratsios
- Maintained 3.9/4.0 GPA with full scholarship
- Presented at Fields Institute Mathematical Finance Conference
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2021.09 - 2021.11 Business Creation in Stock Market (Internship)
Omid Group
Completed comprehensive training on financial market structures at Tehran Stock Exchange. Participated in intensive workshops covering financial markets, global economy, and asset management.
- 100+ hours of training at Tehran Stock Exchange
- 2nd place among 30 participants in business creation competition
- Focus on asset management industry dynamics
- 3-month intensive program
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2021.02 - 2023.01 Quantitative Researcher and Co-Founder
Failed Startup
Co-founded a quantitative trading startup focusing on statistical arbitrage strategies in FX and gold markets. Developed sophisticated trading systems using genetic algorithms and fuzzy logic frameworks.
- Team of 5 professionals over 2 years
- 24 specialized trading agents with proprietary algorithms
- Advanced risk metrics: Drawdown, VaR, Sharpe ratio analysis
- Multiple timeframe trading strategies
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2020.01 - 2023.01 Teaching Assistant
University of Tehran
Teaching Assistant for computer science and mathematics courses across Mathematics, Statistics, and Physics departments.
- Introduction to Data Structures and Algorithms
- Introduction to Graph Theory
- Advanced Programming using C++
- Fundamentals of Programming in Python
- 3-year teaching experience (2020-2023)
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2018.07 - 2018.09 Back End Developer (Internship)
Rahnema College
Completed intensive internship developing 'Akaskhoone' project—an innovative image-based social media application combining Instagram and Pinterest features. Utilized Python and Django Framework for mobile application development.
- Led user profile section development
- Implemented comprehensive automated testing frameworks
- 7-week intensive program
- Mobile application development focus
Education
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2023.09 - 2025.09 Master of Science
McMaster University
Computational Science and Engineering
- Theoretical Foundations of Unsupervised Learning
- Statistical Learning Theory
- Scientific Computing and Matrix Computations
- Scientific Programming with C++
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2018.09 - 2023.03 Bachelor of Science
University of Tehran
Applied Mathematics
- Linear Algebra
- Advanced Linear Algebra
- Probability Theory
- Mathematical Analysis
- Algorithm Design
- Data Structures and Algorithms
- Data Mining
- Machine Learning
- Artificial Intelligence
- Optimization
- Linear Programming
- Differential Equations
- Graph Theory
- Game Theory
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 Large Language Model fine-tuning using meta-learning techniques. Accepted July 2, 2025. Available at 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. Research at the intersection of mathematical finance and deep learning, presenting novel dimension reduction techniques for Volterra processes. Available at arXiv:2405.20094 (submitted May 30, 2024).
Skills
Programming Languages | |
Python (Expert) | |
C++ (Proficient) | |
SQL (Intermediate) | |
Bash/Shell Scripting | |
MATLAB (Intermediate) | |
R (Intermediate) | |
JavaScript (Basic) |
Machine Learning & AI | |
TensorFlow | |
PyTorch | |
Scikit-learn | |
Transformers (Hugging Face) | |
Keras | |
XGBoost | |
Parameter-Efficient Fine-Tuning (PEFT) | |
LoRA | |
Hypernetworks | |
Geometric Deep Learning | |
Computer Vision | |
Natural Language Processing |
Financial & Quantitative Analysis | |
Excel (Advanced) | |
Pandas (Advanced) | |
NumPy (Advanced) | |
Quantitative Finance | |
Risk Management | |
Algorithmic Trading | |
Statistical Arbitrage | |
Monte Carlo Simulations | |
Time Series Analysis | |
Volatility Modeling | |
Options Pricing | |
VaR (Value at Risk) | |
Portfolio Optimization | |
Financial Derivatives | |
Data Analysis | |
Statistical Modeling |
Development & Infrastructure | |
Git/GitHub | |
Docker | |
Jupyter Notebooks | |
VS Code | |
Linux/Unix Systems | |
AWS | |
Google Cloud Platform | |
Parallel Computing | |
High-Performance Computing | |
Django | |
REST APIs | |
Microservices | |
CI/CD | |
Test Driven Development | |
Research Methodology | |
Academic Writing | |
Problem Solving |
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 academic talk sessions during fall 2024 semester. Coordinated with guest speakers from various universities and research fields. Managed comprehensive event logistics including speaker arrangements, venue booking, and catering coordination.
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2021.03 - 2022.03 Editorial Board Member
University of Tehran
Served on editorial team for university-level student publication 'Jong-e Riazi.' Successfully published the 12th edition with responsibility for the Applied Mathematics section. Jong-e Riazi is among the oldest publications in the 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
Successfully recruited over 20 new members to volunteer activities. Coordinated comprehensive volunteer efforts for hemophilia support programs, facilitating critical community assistance initiatives.
Interests
Research | |
Geometric Deep Learning | |
Computational Finance | |
Parameter-Efficient Fine-Tuning | |
High-Performance Computing |
Hobbies | |
Coffee | |
Hiking | |
Photography | |
Classical Music |