Experience

AI Scientist
University Health Network (UHN) & Peter Munk Cardiac Centre AI Team
Toronto, Canada
Nov 2025 – Present
  • Led the development of advanced multimodal and agentic AI systems for biomedical and clinical imaging applications, integrating foundation models, vision-language models, and scalable deep learning frameworks.
  • Drove end-to-end AI research initiatives from concept to deployment, contributing to high-impact scientific projects, collaborative research outputs, and translational AI solutions within PMCC AI and UHN.
  • Collaborated with interdisciplinary teams of clinicians, scientists, and engineers across PMCC and UHN, while mentoring trainees in ML/DL methodologies and communicating complex AI concepts to diverse technical and clinical audiences.
PhD Researcher
University of Toronto & Sunnybrook Research Institute
Toronto, Canada
Sep 2020 – Nov 2025
  • Developed MAPL3, a 3D axonal projection mapping pipeline at single-fiber resolution, combining CNNs, vision transformers, and self-supervised learning — submitted to Nature Methods.
  • Developed ACE, an end-to-end 3D pipeline for whole-brain mapping of local neuronal ensembles in tera-voxel (~1TB) light sheet microscopy data — published in Nature Methods (2025).
  • Pretrained a foundation model for light microscopy on ~3 million 3D image patches across multiple centers and modalities using the 3DINO self-supervised approach.
  • Supervised four undergraduate thesis and summer students on ML/DL research projects.
Research Supervisor
University of Toronto & University Health Network
Toronto, Canada
2021 – Present
  • Supervised undergraduate thesis and summer research students on projects in machine learning, deep learning, and biomedical data analysis.
  • Provided mentorship on experimental design, ML/DL pipelines, data analysis workflows, and scientific writing.
Co-Chair, Executive Trainee Committee
Vascular Training (VAST) Platform
Remote
Jan 2023 – Sep 2023
  • Joined the VAST trainee committee as co-chair following the award of the VAST PhD Doctoral Scholarship.
  • Contributed to organizing research activities and fostering collaboration among trainees in the field of vascular neuroscience.
Software Engineer & Programmer
RayanMindware Co.
Remote
Feb 2017 – Jul 2019
  • Developed algorithms for time-frequency EEG signal analysis using MATLAB.
  • Optimized MATLAB scripts and chipset firmware in C++ for enhanced real-time performance.
  • Developed and tested wireless data transfer systems for EOG biosignals.