About Me

I am a first year Ph.D. student hosted between Vanderbilt University and Vanderbilt University Medical Center advised by Prof. Bradley Malin. My research focuses on designing reliable AI systems, and is supported by the NSF GRFP, the NLM T15, and the Intuit University Collaboration Program.

Research

I’m broadly interested in improving the reliability of AI systems in high stakes environments. Specifically:

Uncertainty in AI: Foundation models frequently encounter ambiguous, noisy, or erroneous inputs. How can we detect, model, and mitigate uncertainty in black-box systems? Prior works have investigated how this uncertainty arises in language models and affects sycophancy and conformity across multi-turn conversation, and how conformal prediction methods can address uncertainty in clinical prediction tasks such as cancer biomarking.
Synthetic Data: Clinical AI systems rely on complex data that is often siloed within healthcare institutions. This prevents low resource groups which may benefit the most from data driven insights from harnessing the potential of predictive modelling. How can we leverage recent advances in generative models to foster broader data sharing, accelerate scientific discovery, and improve clinical translation?

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.

Check out my blog here!

[5.2026] Honored to receive Vanderbilt’s interdisciplinary Lacy-Fischer Fellowship, which will support my research in longitudinal synthetic data for HIV ($7,500).
[12.2025] Honored to receive Vanderbilt’s Richard Bennett/Dorothy Danforth Compton Prize, which supports one enterring PhD student demonstrating potential in sciences and engineering ($2,500).
[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 Neuroinformatics. 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!