I am a PhD student in the Department of Computational Medicine and Bioinformatics (DCMB) at the University of Michigan (U-M). I am a member of the Machine Learning in Neurosurgery Laboratory, led by Dr. Todd Hollon. My research focuses on computer vision, machine learning, and biomedical data science. I am especially interested in representation learning and integrating observations from multiple modalities. Previously, I completed a joint BSE/MSE degree program in Computer Science and Engineering at U-M, where I also played tenor saxophone in the Michigan Marching Band.

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Recent Publications

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Incorporating contextual information into KGWAS for interpretable GWAS discovery

Cheng Jiang, ..., Burkhard Hoeckendorf, Heming Yao, and David Richmond

ICLR LMRL Workshop, 2026 Spotlight

Foundation models for fast, label-free detection of glioma infiltration

Akhil Kondepudi, Melike Pekmezci, Xinhai Hou, Katie Scotford, Cheng Jiang, ..., Shawn Hervey-Jumper, and Todd Hollon

Nature, 2024

Hierarchical discriminative learning improves visual representations of biomedical microscopy

Cheng Jiang*, Xinhai Hou*, ..., Honglak Lee, and Todd C. Hollon

CVPR, 2023 Highlight

OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology

Cheng Jiang*, Asadur Chowdury*, Xinhai Hou*, ..., Honglak Lee, and Todd C. Hollon

NeurIPS Datasets & Benchmarks, 2022

Awards

National Institutes of Health, 2024, NIH/NINDS F31NS135973

University of Michigan Rackham Graduate School, 2022

University of Michigan Marching Band, 2019

University of Michigan EECS Department, 2019

University of Michigan, 2017

Teaching

ENGR 101 @ University of Michigan

Winter 2021 Fall 2020 Winter 2020 Fall 2019