cv
Basics
| Name | Zahra TehraniNasab |
| Label | Graduage Student Researcher at McGill University & Mila (Quebec AI Institute) |
| zahra.tehraninasab@mail.mcgill.ca | |
| Homepage | https://www.cim.mcgill.ca/~zahrat/ |
| Summary | Graduate student researcher at Mila (Quebec AI Institute) and McGill University, specializing in generative modeling. I have a strong background in deep learning, computer vision, and natural language processing. |
Education
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2023.08 - Present Montreal, Canada
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2018.09 - 2023.02 Tehran, Iran
Awards
- 2024.01.01
- 2023.01.01
- 2018.01.01
Iranian Nationwide University Entrance Exam
Iranian Ministry of Science
Ranked 229th among more than 140,000 participants (Top 0.17%)
Publications
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Language-Guided Trajectory Traversal in Disentangled Stable Diffusion Latent Space for Factorized Medical Image Generation
MIV-CVPR Workshop Proceedings 2025
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Towards Reliable Human Pose Forecasting with Uncertainty
IEEE Robotics and Automation Letters
Work
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2023.09 - Present Graduate Student Researcher
Mila - Quebec Artificial Intelligence Institute
Working on generative modeling and explainability and their application in healthcare.
- Developing fine-tuning methods for Vision Language Foundation Models.
- Exploring latent subspaces in Stable Diffusion for controlled image generation.
- [Paper submitted to MIV-CVPR Workshop](https://arxiv.org/abs/2503.23623)
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2022.10 - 2023.08 Software Developer
NodeEffect LTD
Worked on blockchain technologies and led peer-to-peer cryptocurrency exchange software development.
- Developed an open-source commit review tool
- Contributed to FSharpLint, commitlint, lnp2pBot, fsx
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2021.12 - 2022.07 Research Intern
University of California Irvine (UCI)
Joint research with Sharif University on food image and recipe analysis.
- Developed a hierarchical visual feature extractor for predicting ingredients and categories.
- Built a Graph-LSTM model for classifying food using recipe graphs.
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2021.12 - 2022.07 Research Intern
EPFL - VITA Lab
Improved state-of-the-art models for Human Pose Prediction.
- Integrated predictive uncertainty into models (+2–5% improvement).
- Maintained deep learning library with team of 5.
Projects
- 2022.06 - 2022.07
Persian Spell Correction
Designed and implemented a transformer-based model for correcting Persian text spelling.
- 2021.12 - 2022.07
Posepred
Developed a library for integrating and comparing state-of-the-art human pose prediction models.
Skills
| Programming | |
| Python | |
| Typescript | |
| F# | |
| Java | |
| Matlab | |
| Octave |
| Developer Tools | |
| Linux | |
| Windows | |
| Git | |
| GitHub | |
| Tmux |
| Deep Learning | |
| Vision-Language Foundation Models | |
| LLMs | |
| Generative Modeling | |
| Computer Vision | |
| Natural Language Processing | |
| Sequence Modeling | |
| Pytorch | |
| Pytorch3D | |
| Numpy | |
| Pandas | |
| Sklearn | |
| Matplotlib | |
| HuggingFace | |
| CometML |
Languages
| English | |
| Fluent |
| Persian | |
| Native |