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Here, you will find a overview of my professional journey. To download a PDF version of my resume, please click on the top pdf download button.
Basics
| Name | Mohammad Javad Darvishi Bayazi |
| Label | Scientist |
| mj.darvishi92@gmail.com | |
| Url | https://mohammadjavadd.github.io/home/ |
| Summary | MJ is a PhD student at Mila and the University of Montreal (UdeM) |
Work
-
2022.07 - 2023.07 Chief Executive Officer
Foundation models for time series analysis.
- Leading development of deep neural networks for time series analysis.
-
2020.09 - Present Graduate Research Assistant
Research on Machine Learning and AI, focusing on robustness and reliability of deep learning models.
- Designed and deployed large-scale foundation models for time series forecasting with zero-shot capabilities.
- Developed strategies and benchmarks to enhance robustness of deep learning models.
- Evaluated over 1000 models for generalization capabilities and human-level behaviors.
- Published 7+ peer-reviewed articles in prestigious journals and top-tier conferences.
-
2017.06 - 2018.12 Data scientist
Analyzed signals and images using computational tools to facilitate clinical decision-making.
- Performed statistical analysis on diverse datasets to identify trends and patterns in time series.
- Developed pipelines for researchers, medical doctors, and practitioners to study brain function and therapeutic methods.
Education
-
2019.01 - 2024.10 Doctor of Philosophy
University of Montreal (UMontréal - Mila)
Biomedical Engineering / Computer Science
- Deep Learning (DL)
- Machine Learning (ML)
- Artificial Intelligence (AI)
-
2014.01 - 2018.12 Master of Science
Shahed University
Biomedical Engineering - Bioelectrics
- Causality and Information Flow in Multivariate Time Series
-
2010.01 - 2014.12 Bachelor of Science
Yazd University
Electrical Engineering
- Smart Greenhouse Monitoring and Control System Using Industrial Microprocessors
Skills
| Machine Learning | |
| Python | |
| TensorFlow | |
| PyTorch | |
| Scikit-learn | |
| Matplotlib | |
| Seaborn |
| Programming languages | |
| Python | |
| C | |
| Matlab | |
| R | |
| Bash |
| Developer Tools | |
| Git | |
| PyTest | |
| Docker | |
| VS Code | |
| Jupyter Notebook | |
| Unix shell |
| Data Mining and Machine Learning | |
| PyTorch | |
| TensorFlow | |
| Scikit-learn | |
| Matplotlib | |
| Seaborn |
| Technologies/Frameworks | |
| Wandb | |
| HuggingFace | |
| Hydra | |
| Slurm | |
| Cluster | |
| HPC |
| Cloud | |
| Google Cloud Platform | |
| Amazon Web Services (AWS SageMaker) |
| Domain | |
| Computer Vision | |
| Generative AI | |
| Large Language Models (LLMs) | |
| Foundation Models | |
| Time Series |
Interests
| Artificial Intelligence | |
| Machine Learning (ML) | |
| Deep Learning (DL) | |
| Representation Learning | |
| Self-Supervised Learning (SSL) | |
| Out of Distribution Generalization | |
| Transfer Learning |
| Specialized AI Applications | |
| Economy and Finance | |
| Medicine and Healthcare | |
| Cognitive Neuroscience | |
| Brain-Computer Interface (BCI) | |
| Information retrieval | |
| Human in Loop |
Volunteer
-
2019.09 - 2024.01 Montreal, Canada
President, Vice-president and Webmaster
SIGHT Montreal
Organized events such as the AI4Good event and the AI against COVID-19 competition, and launched the group's website.
- Organized AI4Good event
- Raised over $20K CAD from Microsoft Canada for AI against COVID-19 competition
-
2017.01 - 2018.01 NBML, Tehran, Iran
Vice-Chair of the Executive Committee
1st and 2nd IBCIC
Designed and organized a Brain-Computer Interface competition.
- Designed Brain-Computer Interface competition
Languages
| English | |
| Fluent |
| French | |
| Beginner |