CV
Selected education, experience, awards, and publications.
Contact Information
| Name | Amman Yusuf |
| Professional Title | Computer Scientist |
| ammanyusuf85@gmail.com | |
| Website | https://ammanyusuf.com |
Professional Summary
Computer scientist with experience across machine learning, computer vision, data systems, and full-stack engineering. Currently in Dr. Mijung Park’s lab on privacy and safety, connecting research with real-world product impact.
Experience
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2025 - present Research Assistant
University of British Columbia
Sep 2025 - Present
- Research in privacy and safety with diffusion models.
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2025 - 2025 Graduate Teaching Assistant
University of British Columbia
Jan 2025 - May 2025
- Supported course instruction, grading, and student support.
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2024 - 2025 Fullstack Software Engineer
EV.com
- Integrated retrieval-augmented generation with vector search in MongoDB for LLM projects.
- Led generated metadata tagging for vehicle listings to improve search relevance.
- Built ML-backed relevance ranking with LightGBM, improving results by 15%.
- Streamlined authentication flows in React and Next.js, increasing sign-ups by 10%.
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2022 - 2022 Software Engineer Intern
Amazon Web Services
- Built a pipeline to gather and analyze PostgreSQL statistics.
- Maintained Kotlin Lambda code to extract 10 GB of stats on a CRON schedule.
- Worked in an Agile, TDD-oriented workflow using Jira and Git.
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2021 - 2023 Data Science Intern
Oncology Outcomes
- Built web solutions in .NET integrated with R-based ML models for outcome prediction.
- Extracted 200k+ records from electronic health data for information extraction research.
- Improved ML analysis performance by 10x through system optimization.
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2023 - 2024 Outreach Coordinator
University of Calgary Fencing Club
- Ran classes, refereed matches, and coached 1-on-1 fencing lessons.
- Organized tournaments, merchandise, and competition medals.
- Led social media efforts, growing membership from 7 to 60 students.
- Competed as a sabre fencer and helped with coaching and instruction.
Education
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2024 - 2026 Master of Science
The University of British Columbia
Computer Science
- GPA: 4.00
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2018 - 2023 Bachelor of Science, First Class Honours
University of Calgary
Computer Science
- GPA: 3.98
Awards
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2025 NSERC Canada Graduate Scholarships Master’s (CGS M) — $27,000
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2023 NSERC Research Award — $7,500
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2018 Dean’s List Recipient - University of Calgary
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2018 President’s Entrance Scholarship - University of Calgary — $5,000
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2018 Louise McKinney Scholarship - Government of Alberta — $2,500
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2018 Jason Lang Scholarship - Government of Alberta — $1,000
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2018 Viscount Bennet Scholarship - Government of Alberta — $1,000
Publications
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2024 Text analysis framework for identifying mutations among non-small cell lung cancer patients from laboratory data
BMC Medical Research Methodology
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2022 Prevalence, treatment patterns, and outcomes of individuals with EGFR positive metastatic non-small cell lung cancer in a Canadian real-world setting
Current Oncology
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2023 The impact of population-based EGFR testing in non-squamous metastatic non-small cell lung cancer in Alberta, Canada
Lung Cancer
Projects
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Federated Learning for Computer Vision
Distributed learning pipeline for wheat head instance segmentation using a modified U-Net.
- Achieved IoU and Dice scores up to 95% with model-agnostic comparisons.
- Built data transformation and cleaning pipelines for diverse imagery.
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Emotion in Motion
HRI study on perceived emotion from non-anthropomorphic robot motion.
- Programmed Sony Toio robots in JavaScript for participant studies.
- Analyzed motion patterns and proposed expressive strategies.
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Popin
Student event discovery app deployed to iOS.
- Managed React Native app infrastructure and performance.
- Incorporated user feedback to improve retention and UX.
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Canadian Cancer Society Visualization
Data visualization suite exploring cancer statistics in Canada.
- Built 22 interactive visualizations with D3 and Python.
- Applied PCA and regression to cleaned datasets.
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WaitLess Queueing App Prototype
UX/UI prototype for university advising queues.
- Designed a high-fidelity interface with Adobe XD and Figma.
- Conducted heuristic evaluation and user research.
Skills
Interests
Training
- CIFAR Deep Learning + Reinforcement Learning (DLRL) Summer School (Amii): focused on reinforcement learning, attended talks by Adam White, Marlos Machado, Martha White, and Richard Sutton, explored KAN networks for RL tasks, and built connections in the international deep learning community.