About

I am a Data Scientist II at Pathward, where I develop large-scale machine learning models, anomaly detection systems, and agentic AI tools for financial risk and decision systems. Previously, I was a Machine Learning Scientist at Cleerly, working on coronary artery landmark detection and registration for CCTA imaging. Before that, I was a Research Scientist Intern at Elekta, where I developed deep learning methods for real-time tissue motion tracking in MRI-guided radiotherapy.

I recently completed my PhD in Computer Science at Concordia University, under the supervision of Prof. Hassan Rivaz and Prof. Yiming Xiao, where my research focused on automatic quantification of medical image registration quality using deep learning. My broader research interests include uncertainty-aware AI, foundation models, self-supervised learning, and trustworthy AI for healthcare.

Contact

Feel free to reach out via email at soorena [dot] salari374 [at] gmail [dot] com or connect with me on professional networks for research discussions and collaborations.