About Me

I am a Research Scientist/Engineer working at the intersection of generative AI (GANs, diffusion models), computer vision, and computational pathology, with practical experience deploying ML systems for face recognition and virtual try-on in production environments.

Beyond research, I have a strong passion for photography and enjoy capturing, editing, and retouching images, an interest that naturally complements my work in visual computing.

News

• 2026/03: An abstract on Predicting the risk of prostate cancer metastasis at diagnosis in the VA Health Care System from H&E slides of the prostate needle biopsies was accepted to Journal of Clinical Oncology (JCO).
• 2026/01: Promoted to Lead Applied Scientist at SpreeAI, advancing next-generation AI systems for virtual try-on technology.
• 2025/12: We successfully deployed a virtual try-on experience for SPREEAI X Sergio Hudson Try-On Studio, where my team developed the core virtual try-on module powering the try-on pipeline.
• 2025/07: CLASS-M was accepted to Medical Image Analysis
• 2025/07: DuoFormer was accepted to Medical Imaging with Deep Learning (MIDL) 2025
• 2025/03: Received Outstanding Reviewer Award from WACV 2025
• 2024/10: F2FLDM was accepted to WACV 2025
• 2024/04: Extended version of DISC was accepted to SynData4CV @ CVPR 2024
• 2024/02: HistoEM was accepted to Modern Pathology
• 2024/02: DISC was accepted to ISBI 2024

Research Areas

Computational Photography:

• Image/Video Color/Style Transfer
• Colorization
• Restoration
• Manipulation
• Smartphone Photo Scanning
• Virtual Try-On

Pathology Imaging:

• Cancer Diagnosis and Prognosis
• Transfer Learning
• Semi-Supervised Learning
• Data Shortage