About Me

I obtained my PhD from the University of Wisconsin-Madison, where I was supervised by Prof Kevin Eliceiri. My research focuses on developing computational approaches to analyzing complex biological/histological image and omics data for affordable precision medicine. Currently, I am a postdoctoral researcher in Prof Jens Rittscher’s research group at the Big Data Institute, University of Oxford. I work closely with Dr Matthias Friedrich on characterizing image biomarkers for Inflammatory Bowel Disease. Clich Here to check out my full publication list.

Research Interests

• Digital Pathology: AI for precision and personalized medicine, computational histopathology
• Machine Learning: contrastive learning, generative models, probabilistic modeling
• Tissue Imaging: tumor microenvironment, multiphoton microscopy, whole slide imaging

News

• [2024.06] Check out Piximi, a free, open source web app for performing image understanding tasks using AI, bioRxiv.

• [2024.05] Our paper, “Accurate Subtyping of Lung Cancers by Modelling Class Dependencies,” has been accepted for publication at ISBI 2024.

• [2023.08] Our paper on collagen fiber analysis and synthetic training data generation using conditional variational autoencoders (VAEs) has been accepted for publication in Medical Image Analysis.

• [2023.02] Our book chapter for The Tumor Microenvironment is online! “Multiscale Label-Free Imaging of Fibrillar Collagen in the Tumor Microenvironment”, link.

Publications

Services

Conference Reviewers

• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021

Reviewers

• IEEE Transactions on Medical Imaging (TMI), Distinguished Reviewer
• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• IEEE Transactions on Neural Networks and Learning Systems(TNNLS)
• Biomedical Optics Express
• Scientific Reports

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