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Computer Science Ph.D. Student at the University of Toronto
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Assessing your cultural and operational fit
University of Toronto
Data Scientist
June 29, 2026 – Present
SUM
June 22, 2024 – August 23, 2025
[WACV2025 Oral] SUM: Saliency Unification through Mamba for Visual Attention Modeling
View ProjectAwesome_Mamba
April 2, 2024 – July 22, 2025
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
View ProjectAwesome-Implicit-Neural-Representations-in-Medical-imaging
December 27, 2022 – December 6, 2023
[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging
View ProjectDAEFormer
December 22, 2022 – October 12, 2023
[MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
View ProjectAwesome-Diffusion-Models-in-Medical-Imaging
September 24, 2022 – November 17, 2025
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
View ProjectHiFormer
May 3, 2022 – March 22, 2024
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)
View ProjectAwesome-Transformer-in-Medical-Imaging
March 13, 2022 – November 10, 2023
[MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
View ProjectAutonomous-Car-Simulation-Based-on-AVIS-Engine-FIRA-2021
February 2, 2021 – Present
A code for implementing autonomous car software, including environment perception, lanes detection, identifying traffic signs, and controlling the vehicle with digital PID.
View ProjectAutonomous-Vehicle-Environment-Perception
January 9, 2021 – Present
An Intelligent Modular Real-Time Vision-Based System for Environment Perception (NeurIPS 2022 Workshop)
View ProjectCultural Fit Analysis
The candidate's projects are heavily research-oriented and academic, focusing on advanced machine learning models in specific domains like medical imaging and autonomous vehicles. While this demonstrates strong technical depth, the breadth of project diversity outside these specialized areas is limited. The single listed work experience as a 'Data Scientist' at the University of Toronto aligns with the target role, but without further details on responsibilities, it's difficult to fully assess cultural fit for a broader industry role. The focus on personal research projects suggests a strong drive for innovation and problem-solving, which could be a good fit for research-heavy or innovative teams.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily highlights technical project contributions and publications.