Belal Mohammed-Nur

I am a computer science student at the University of British Columbia and a research collaborator in the Computer Vision lab under Professor Leonid Sigal. I hold a bachelor's degree in Information Systems from Carnegie Mellon University.

My research currently centers on self-supervised representation learning for vision, working with the JEPA family of architectures to explore better pre-training strategies.

In past internships, I've explored generative and analytics-focused NLP workflows for the banking and enterprise software sectors.

I devote a good chunk of my time serving the UBC Computer Science community as VP Academic of the UBC CSSS, organizing events like the UBC Computer Science Student Research Conference.

Check out this article covering how my team and I launched the inaugual conference in early 2026!

Experience

• Research Collaborator · (Jan '26 – Present)
  UBC CS Computer Vision Lab (Supervised by Prof. Leonid Sigal)
  Collaborating with the UBC Computer Vision Lab to explore self-supervised representation learning for vision, focusing on the JEPA family of architectures. Investigating novel pre-training strategies and their impact on downstream tasks, contributing to both theoretical insights and practical implementations.

• Research Volunteer · (Jul '25 – Present)
  UBC Addictions & Concurrent Disorders Lab
  Conducting statistical and data-driven analyses on trauma and Adverse Childhood Experiences (ACE) in relation to addiction and mental-health outcomes, including data preprocessing, regression analyses, and research-oriented visualizations for interdisciplinary collaborators.

• Data Science Intern · (Jun '24 – Sep '24)
  Qatar Islamic Bank
  Built a Python-based ETL pipeline to ingest and structure large-scale archived email data, enabling downstream analytics for operations teams. Applied NLP and LLM-based methods to classify unstructured text, extract themes, and evaluate the practical trade-offs between modern LLM approaches and traditional techniques in a financial-services setting.

• Software Engineering Intern · (Jun '24 – Aug '24)
  Qatar Science & Technology Park
  Explored multi-agent LLM systems for enterprise applications, prototyping agentic workflows using Microsoft Autogen and LangChain. Developed and evaluated a proof-of-concept SEO content generation system, contributing technical feedback that informed product direction toward more robust, configurable AI pipelines.

Teaching & Service

• Vice President Academic · (May '26 – Present)
  UBC CSSS – Computer Science Student Society
  Overseeing academic initiatives and student support programs for the UBC Computer Science Student Society, including curriculum feedback, academic workshops, and mentorship programs. Collaborating with faculty and student groups to enhance the academic experience for undergraduate and graduate students in the computer science department.

• Conference Chair · (Aug '25 – Apr '26)
  UBC CSSS – Computer Science Student Society
  Leading planning and execution of the inaugural UBC Computer Science Student Research Conference, coordinating logistics, programming, and stakeholder engagement to create a platform showcasing undergraduate and graduate research.

• Undergraduate Teaching Assistant · (2020 – 2024)
  Carnegie Mellon University Qatar
  67-272: Application Design and Development (S24)
  67-364: Practical Data Science (F23)
  15-110: Principles of Computing (F21, F23)
  67-250: Information Systems Millieux (S22)
  15-112: Fundamentals of Programming and CS (S22)
  

Education

• Non-Degree Coursework (CS) · (2024 – Present)
  University of British Columbia
  Notable Coursework:
  CPSC 532B: NLP Open Questions
  CPSC 440: Advanced Machine Learning
  CPSC 425: Computer Vision
  CPSC 406: Computational Optimization
  CPSC 340: Machine Learning and Data Mining
  

• B.S. Information Systems · (2020 – 2024)
  Carnegie Mellon University
  Notable Coursework:
  11-485: Introduction to Deep Learning
  67-364: Practical Data Science
  67-443: Mobile Application Development
  17-313: Foundations of Software Engineering
  

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