Xiangyu "Sean" Gao

Ph.D. Candidate in Data Science (Advisor: Dr. Yi Chen)
Martin Tuchman School of Management
New Jersey Institute of Technology

Short Bio

I am currently a Ph.D. candidate in Data Science at the Martin Tuchman School of Management in New Jersey Institute of Technology. My research interests focus on developing end-to-end data mining and machine learning systems for healthcare applications. This past summer, I interned as a Data Scientist at Amazon Supply Chain Optimization Technologies (SCOT). Last summer, I worked as an AI Research Associate at the Center for Health Information & Decision Systems (CHIDS), University of Maryland.

Prior to this, I worked as a Data Category Manager for Standard Media Index (SMI) for nearly three years. I received my Master of Science degree in Marketing Intelligence from Fordham University Gabelli School of Business and Bachelor of Science degree in Business Administration from New York Institute of Technology.

Publications

Jinhe Shi, Xiangyu Gao, William C Kinsman, Chenyu Ha, Guodong Gordon Gao, Yi Chen, DI++: A Deep Learning System for Patient Condition Identification in Clinical Notes, Artificial Intelligence in Medicine, 2022
Jinhe Shi, Xiangyu Gao, Chenyu Ha, Yage Wang, Guodong Gao, Yi Chen, Patient ADE Risk Prediction through Hierarchical Time-Aware Neural Network Using Claim Codes, 2020 IEEE International Conference on Big Data (Big Data), 2020
Xiangyu Gao, Jinhe Shi, Wenjin Chen, Nancy Sazo, Huiqi Chu, Evita Sadimin, David J Foran, Yi Chen, CBEx: A Hybrid Approach for Cancer Biomarker Extraction, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020

Skills

Primary Areas: Natural Language Processing, Information Extraction, Recommendation Systems, Deep Learning, Applications in Healthcare, End-to-end Machine Learning Pipelines
Languages, Libraries, and Tools: Python (Scikit-learn, Pandas, NumPy, Keras, TensorFlow, AutoGluon), Jupyter Notebook, R, SQL, SAS, MATLAB, LaTeX, SPSS, Minitab, Tableau, Excel (Advanced)

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