Hongshik Ahn

Hongshik Ahn is a Professor in the Department of Applied Mathematics and Statistics at Stony Brook University. His research focuses on biostatistics and survival analysis, particularly in tree-structured regression modeling for censored survival data. He has extensive experience collaborating with biomedical researchers, including work at the National Center for Toxicological Research (NCTR) on carcinogenicity and drug stability analysis. His research has been supported by NIH funding.

Education: Ph.D., University of Wisconsin-Madison (1992).

Research Interests: Ahn's work spans biostatistical methods for clinical and genomic data, subgroup analysis in cancer treatment, and statistical methodologies for high-dimensional biomedical datasets. He has developed novel approaches for analyzing survival data, batch testing strategies for infectious diseases, and machine learning applications in psychiatric diagnostics.

His publications highlight trends in applying statistical models to real-world health challenges, including optimizing diagnostic protocols, evaluating treatment efficacy, and leveraging genomic data for personalized medicine. Notable contributions include advancements in subgroup analysis for cancer therapies and multimodal biomarker development for psychiatric disorders.

Grants & Funding: NIH-funded research on statistical methods in biomedical decision-making. No specific awards mentioned in the provided text.

Labs/Teams: Collaborations with biomedical researchers at Stony Brook and external institutions like NCTR. Focus on translating statistical methodologies into practical clinical tools.