cv
Basics
Name | Parham Saremi |
Label | MSc Student at Mila | McGill University |
parham.saremi@mail.mcgill.ca | |
Summary | Graduate student at Mila and McGill University supervised by Prof. Tal Arbel, with research interests in computer vision, generative modeling, and medical imaging. |
Education
-
2024.05 - Present Montreal, Canada
-
2018.09 - 2023.06 Tehran, Iran
Work
-
2024.05 - Present Montreal, Canada
Graduate Research Student
Mila - Quebec Artificial Intelligence Institute
Conducting research in medical imaging and generative modeling under the supervision of Prof. Tal Arbel.
- Working on Diffusion Models for explainability and uncertainty quantification in medical images.
- Trained stable-diffusion on medical data and fine-tuned using policy optimization to improve alignment with prompts by 11%
- Worked on Distillation of Diffusion Models for faster inference and deployment.
-
2022.07 - 2023.09 .NET Developer (Part-time)
Node Effect
Worked as a .Net developer and contributed to C# and F# open-source projects.
- Developed a MAUI-based application (C#) and contributed to the MAUI Linux project.
- worked on Bitcoin Lightning-related projects.
-
2022.07 - 2023.07 Research Intern
ETH Zürich – AIT Lab
Worked as a research intern on Human-Object Interaction and 3D reconstruction.
- Designed and implemented pipelines to generate 3D human and object models from single images while reasoning about their interaction.
- Used the decoder of a pre-trained VQ-VAE model to generate object meshes from images.
-
2021.12 - 2022.07 Research Intern
EPFL – VITA Lab
Worekd as a researh intern on Human Pose Forecasting.
- Developed and maintained UnPOSed, an open-source toolbox for forecasting a sequence of human pose in future.
- Designed and evaluated a method for human motion prediction that improved results of various SOTA models by 2-5% across multiple datasets.
-
2021.11 - 2022.07 Research Collaborator – B.Sc. Project
University of California Irvine & Sharif University of Technology
Joint reserach project between UCI and Sharif University of Technology for my B.Sc. thesis.
- Worked with vision-language models, Transforemrs, and Graph Neural Networks.
- Designed and developed a multimodal model using GNNs and Transformers to predict cuisine using ingredient information and recipes.
-
2021.07 - 2021.10 Research Intern
Imperial College London
Investigated and experimented with new methods for the verification of Neural Networks.
Skills
Machine Learning | |
Python | |
PyTorch | |
PyTorch3D | |
Numpy | |
Pandas | |
Scikit-learn | |
Matplotlib | |
HuggingFace |
Other | |
Linux | |
Git | |
GitHub | |
C/C++ | |
Java | |
C# | |
F# | |
LaTeX | |
Excel |
Languages
English | |
Fluent (TOEFL 111) |
Persian | |
Native |