I am a PhD student at the Computer Science Department, University of Arizona, Tucson, AZ. It has been my pleasure to work with Dr.Surdeanu at Computational Language Understanding Lab (CLULAB) My research interests are natural language processing, natural language understanding, machine learning and their application in medical big data.
I work on systems that process and extract meaning from natural language texts such as question answering, information extraction. I focus mostly on interpretable models, i.e., approaches where the computer can explain in human understandable terms why it made a decision. For more details about my work, please visit my github page. For more information about the work at CLULAB, please visit the lab research pageThe natural language processing system to extract indicating features in tweets to predict diabetic risk, poverty and education levels in the U.S. The model outperformed previous state-of-the-art model by 4-18% in accuracy.
The natural language processing system to extract indicating features in tweets to monitor public health in the U.S.
The natural language processing system to autocomplete text simplification in medical documents using Transformers-based Neural Networks.
A medical concept extractor for predicting suicide risk. The model is trained and tested on medical health records.
Oh Yeah, I love hiking and creating robots.