Renly Xinhai Hou
Xinhai Hou (Renly)
PhD Candidate @ UofM
Email: xinhaih@umich.edu
I am currently a Ph.D. candidate in Bioinformatics and Scientific Computing at the University of Michigan, Ann Arbor, where I am co-advised by Dr. Todd Hollon and Dr. Brian Athey. I hold an M.S. in Bioinformatics from the University of Michigan and a B.S. in Statistics from the Chinese University of Hong Kong, Shenzhen.
My research focuses on machine learning for computer vision (multimodal understanding and visual reasoning), with a strong focus on training foundation models and developing LLM-based agentic systems. I apply these methods to complex real-world domains such as medical imaging and clinical decision support, creating models that reason more reliably and operate effectively in high-stakes environments.
Before starting my Ph.D. program, I worked as a machine learning engineer intern at Tencent under the supervision of Dr. Pengfei Xiong, where I contributed to projects on title generation and video tagging.
News
| May 19, 2025 | I start my internship as Applied Scientist at Amazon in Seattle. |
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| Nov 14, 2024 | Our paper Foundation models for fast, label-free detection of glioma infiltration was accepted in Nature 2024. |
| Feb 27, 2023 | Our paper Hierarchical Discriminative (HiDisc) Learning Improves Visual Representations of Biomedical Microscopy was accepted and got highlight in CVPR 2023. |
| Sep 25, 2022 | Our paper OpenSRH: Optimizing Brain Tumor Surgery Using Intraoperative Stimulated Raman Histology was accepted in NeurIPS 2022 Dataset and Benchmark track. |
Selected Publications
- NeurIPS AIM-FMA self-supervised framework for learning whole slide representationsNeural Information Processing Systems Workshop on Advancements In Medical Foundation Models, 2024