Ulzee An
UCLA Computer Science Department / Computational Medicine
404 Westwood Blvd.
Los Angeles, CA 90025
Hi! I’m Ulzee. My name is based on a street of the same name in Korea (을지). I’m currently doing my PhD in Computer Science with Professor Sriram Sankararaman at UCLA. My research interests are in applying state-of-art machine learning methods to improve our understanding of complex diseases. My experience spans many modalities that are encountered in healthcare: genomics, doctors’ notes, X-rays, MRIs, motion sensors, and more.
Check out my academic CV or resume.
Before joining UCLA, I obtained an MS in Computer Science at NYU while researching traffic patterns with Professor Lakshmi Subramanian. I obtained my Bachelor’s in Computer Science at UIUC where I contributed to projects involving motion sensors in Professor Prashant Mehta’s lab.
Other things: I had a research internship with Uber in 2022 where I worked on probabilistic and DL embedding methods. See what I do for fun. Feel free to reach out to me at ulzee [at] cs [dot] ucla [dot] edu.
selected publications
- AIMedHealth
DK-BEHRT: Teaching Language Models International Classification of Disease (ICD) Codes using Known Disease DescriptionsAAAI workshop on AI for Medicine and Healthcare, 2024 - Nature BME
Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scansNature Biomedical Engineering, 2024 - Nature Gen
Phenotype integration improves power and preserves specificity in biobank-based genetic studies of major depressive disorderNature Genetics, 2023 - Nature Gen
Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveriesNature Genetics, 2023
