Shih-Ting Huang

Shih-Ting Huang is an Assistant Professor in the Department of Bioinformatics and Biostatistics at the University of Louisville's School of Public Health and Information Sciences. Her research focuses on precision medicine, high-dimensional statistics, and deep learning applications in healthcare. She holds a PhD and is affiliated with the University of Louisville, located in Louisville, KY.

Education: PhD in a relevant field (specific details not provided in text).

Research Interests: Dr. Huang's work emphasizes statistical methodologies for personalized medicine, robust machine learning algorithms, and high-dimensional data analysis in biomedical contexts. Her recent studies include developing sample-specific learning models for medical imaging and enhancing deep learning through median-of-means techniques.

Publications: Her research spans topics like robust deep learning frameworks, tuning-free statistical models, and mathematical foundations for biological data analysis. Her 2021 work on tuning parameter calibration for medical predictions highlights her focus on clinical applicability.

Awards & Grants: No specific awards or grants are listed in the provided text.

Labs/Teams: No specific lab affiliations or team details are mentioned.