Chaojun Chen
Development
Ontario, Canada
Skills
Machine Learning (ML)
About
CHAOJUN CHEN's skills align with IT R&D Professionals (Information and Communication Technology). CHAOJUN CHEN appears to be a low-to-mid level candidate, with 4 years of experience.
View more
Work Experience
Researcher, Machine Learning
Hospital for Sick Children
November 2022 - Present
- Anomaly Detection in Brain MRI with Generative Models Conduct in-depth literature review to understand anomaly detection with generative models such as DDPM and GAN Collect, clean and process 500+ 3D brain MRI dataset Translate mathematical problem definitions and model/solution specifications into efficient executable code Design and train end-to-end Denoising Diffusion Probabilistic Model (DDPM) for anomaly detection in brain MRI using PyTorch Achieve a Dice coefficient of 0.376, outperforming other generative models such as Generative Adversarial Network (GAN)
Hospital for Sick Children
July 2021 - June 2022
- Autonomous Scoliosis Assessment with Instance Segmentation Conducted in-depth literature reviews to understand the latest advancements in machine learning for image segmentation Collaborated with the medical team at Sickkids Hospital to design, implement, and optimize AI models tailored for automating Cobb angle measurement with X-ray images Experimented with various machine learning algorithms such as CNN, Attention UNet, Nested UNet, and SalsaNet to analyze their effectiveness Developed efficient end-to-end algorithm that utilizes deep neural network to perform instance segmentation and Cobb angle measurement Achieved a Symmetric Mean Absolute Percentage Error (SMAPE) score of 10.76%, outperforming previous methods
Co-President
University of Toronto Machine Intelligence Student Team
July 2021 - July 2022
- Managed a team of 180+ active members and 2000+ community members spread across nine departments using JIRA software Drove collaboration with student clubs and international organizations such as the Engineering Hatchery, UCL AI Society, AI@MIT, and Harvard Open Data Project Oversaw projects management, event planning and the proper execution of inter-departmental and outreach events Maintained contacts with key stakeholders and collaborated with industry partners to bridge the gap between students, academia, and industry
Analyst, Technology Risk Management
Loblaw Technology Limited
May 2020 - August 2021
- Conducted research and evaluated technical and all-source cyber intelligence to support the development of in-depth assessments of threats to the organization's networks, systems, users, and data Maintained analytical procedures to meet changing requirements and enable more strategic detections Facilitated the timely collection of evidences for external auditors and internal control compliance
Education
