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Prof. Hyokyoung (Grace) Hong receives NSF award for developing statistical theory and methodology for impact of molecular biomarkers on survival outcomes in high-dimensional data.

Impact of Molecular Biomarkers on Survival Outcomes image

STT's Prof. Grace Hong is sole PI on a new award funded by the National Science Foundation's Division of Mathematical Sciences. She plans to develop a theoretically justifiable and computationally feasible framework for analyzing large-scale data in generated by the biomedical sciences. To address fundamental issues arising from high-dimensional survival data analysis, the planned work features a series of methods to detect gene-specific impacts on cancer patients' survival,  to select important biomarkers for predicting survival outcomes, and to quantify the uncertainty of survival models with high-dimensional predictors. This work will help detect patients' specific characteristics that make them respond differently to treatment or more susceptible to diseases. This research is expected to have a practical impact on precision medicine. 

STT Professor Grace Hong
STT Professor Grace Hong

upcoming events

Colloquium - Patricia Ning

Institution: University of Michigan
Title: Probabilistic machine learning in multivariate time series forecasting
Date: September 8, 2020
Location: C405 Wells Hall
Time: 10:20 AM - 11:10 AM
Refreshments: 10:00AM

Colloquium - Parthanil Roy

Institution: Indian Statistical Institute
Title: Continued fractions, the Chen-Stein method and extreme value theory
Date: September 15, 2020
Location: C405 Wells Hall
Time: 10:20 AM - 11:10 AM
Refreshments: 10:00AM