As a passionate and dedicated Machine Learning Research Scientist, I am driven by the opportunity to apply technology to a diverse range of challenges aimed at improving people's lives and experiences. Previously, I served as a post-doctoral fellow at University of Toronto and Vector Institute, collaborating closely with WangLab team, where I delved into cutting-edge research in the field of graph-based machine learning algorithms. Simultaneously, I also worked as a Machine Learning Research Intern at Cyclica, a pioneering data-driven drug discovery company located in Toronto, which was acquired by Recursion Pharmaceuticals in May 2023.
With a foundation built upon a PhD in Electrical and Computer Engineering, as well as M.Sc. and B.Sc. degrees in Bio-electric/Biomedical Engineering, my journey has been fueled by an unwavering passion for leveraging technology in the healthcare domain. During my doctoral studies at University of Manitoba, particularly within EMILab, I dedicated my efforts to pioneering novel 2D and 3D microwave imaging algorithms aimed at advancing breast cancer imaging and tumor detection.
Beyond academia and research, I find solace in cherished moments with family and friends. Art, particularly painting, serves as both a creative outlet and a source of inspiration in my life. Moreover, I am deeply committed to advocating for equity and inclusion in STEM fields, actively championing initiatives that empower women and inspire young girls and underrepresented minorities to pursue their academic interests towards rewarding careers in science and technology. Over the years, I've been honored to contribute my efforts to organizations like IEEE Women in Engineering (WIE), striving to break biases and foster a more inclusive landscape within STEM communities.
To delve deeper into my ongoing endeavors, I invite you to explore my blog posts and publications where I share insights into my current research and personal reflections on the journey thus far.
Education
- Post-doctoral Fellow, Bioinformatics, University of Toronto
- Ph.D., Electrical and Computer Engineering, University ot Manitoba
- M.Sc., Biomedical Engineering, K. N. Toosi University of Technology
- B.Sc., Biomedical Engineering, Sahand University of Technology
Research Interest
- Artificial Intelligence
- Machine Learning & Deep Learning
- Generative Models
- Graph Convolutional Networks
- Large Language Models
- Computer Vision
- Advanced Optimization Algorithms
- Structural/Computational Biology
- Biomedical Imaging, Image/Signal Processing
Software Development Skills
- Python (PyTorch, TensorFlow, Torch-Geometrics, Scikit-Learn)
- OpenCV, scikit-image
- Pandas, Numpy, Matplotlib, seaborn, loguru
- Parallel/Distributed Processing
- Threading and Multiprocessing
- Remote/Cloud computing
- High Performance Computing (HPC)
- CUDA
- Docker & Kubernetes
- Linux/Unix Shell Scripting
- Git/GitHub/GitLab
Other Software Skills
- MATLAB & Simulink
- C/C++
- Julia
- SQL
- COMSOL Multiphysics
- ANSYS
- Gmsh
- ParaView
- Pymol
- GUI Design
- HTML
- Microsoft Office & Latex
- OS: macOS, Linux, Windows
Technical Society Membership
- IEEE Engineering in Medicine and Biology
- IEEE Signal Processing Society
- IEEE Biomedical Imaging and Image Processing
- IEEE Therapeutic Systems and Technologies
- IEEE Antennas and Propagation Society
- IEEE Nanotechnology Council
- IEEE Council on Electronic Design Automation
- IEEE Sensors Council
- IEEE Vehicular Technology Society
- IEEE Women in Engineering
- IEEE Young Professionals
- IEEE Consultants Network
Leadership Initiatives
- Chair, IEEE Canada Women In Engineering (WIE), 2024
- Vice-Chair, IEEE Canada WIE, 2018-2020, 2021-2023
- Vice-Chair, Engineering in Medicine and Biology, IEEE Toronto Section, since 2022
- Co-Chair, IEEE WIE ILS 2022, Toronto
- Program Chair, IEEE WIE ILS 2018, Toronto
- Chair, IEEE Winnipeg Section WIE, 2016-2018
- Track Chair, IEEE WIE ILC 2017, San Jose, CA
- Co-Chair, IEEE WIE Panel at ICORR 2019
- Co-Chair, IEEE WIE Panel at EPEC 2017
Selected Awards
- IEEE Canadian Foundation Women In Engineering Prize, 2024
- Mitacs Accelerate Fellowship, Postdoctoral, University of Toronto and Cyclica Inc., 2021 -2022
- Mitacs Accelerate Fellowship, Ph.D., University of Manitoba and Cyclica Inc., 2020 - 2021
- University of Manitoba Graduate Fellowship, most prestigious fellowship award by University of Manitoba, 2016
- International Graduate Student Scholarship (IGSS), University of Manitoba, 2016
- International Graduate Student Entrance Scholarship (IGSES), University of Manitoba, 2015
- IEEE Women in Engineering (WIE) Best Group of Year Award (IEEE News), 2018
- University of Manitoba Emerging Leader Award (News), Winnipeg, MB, Canada, 2017
- IEEE WIE International Leadership Conference Award, IEEE WIE ILC, San Jose, CA, USA, 2017
