Kevin Guo

About Me

Hello, I’m Kevin! I am a Ph.D. student at Vanderbilt University, advised by Prof. Bradley Malin. My research is broadly interested in creating robust and trustworthy machine learning systems for healthcare.

Currently, I’m working on

1. LLM reasoning under uncertainty in clinical decision making.
2. Harmonizing multi-site collaborations through data addition optimization and domain-invariant synthetic data generation

Previously, I received a Bachelor’s in Computer Science from the University of Southern California. At USC, I worked on interpretable neuroimage deep learning advised by Prof. Andrei Irimia. I also spent two years as an AI/ML Research Intern at NASA Ames working on NLP for air traffic control under Stephen Clarke and Dr. Krishna Kalyanam in the NASA Aeronautics Research Institute.

I am grateful to be supported by the NSF GRFP and the NLM T15.

Blog

Check out my blog here!

News

• [11.2025] I’ll be at AMIA 2025 in Atlanta, GA.
• [10.2025] I’ll be participating in VU’s NSF GRFP panel.
• [8.2025] Starting my PhD in Biomedical Informatics at Vanderbilt University!
• [4.2025] Honored to be selected for the NSF GRFP.
• [10.2024] My manuscript on saliency methods for neuroimage deep learning was published in the latest issue of the Neuroinformatics journal. Read it here!
• [3.2024] My first publication! My paper on inverse text normalization for air traffic control was accepted to AIAA Aviation. Read about my work at NASA here!

Publications

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