Belal Mohammed-Nur

I am a computer science student at the University of British Columbia, where I am completing non-degree coursework after earning a Bachelor of Science in Information Systems from Carnegie Mellon University Qatar.

My background includes undergraduate teaching, industry internships in data science and software engineering, and current involvement in applied research and academic service at UBC.

I am attracted to problems where learning, data, and systems constraints meet, and am looking to develop this focus through research collaboration.

Actively searching for research opportunities in Vision and ML!
See projects and notes.

Experience

• 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

• Conference Chair · (Aug '25 – Present)
  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 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 Qatar
  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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