A variety of showcases and special invited sessions and keynote speakers will be presented during the 2020 International Biometric Conference.
ISI Special Invited Session
Young Statistician Showcase Competition
The Young Statisticians' Showcase is an important part of the Society's International Biometric Conference (IBC). If you are currently an MSc or PhD candidate or graduated with one of these degrees in 2017 or later, you are eligible to enter the competition!
Five papers (one from Africa, Asia & Australasia, Europe, North America and South America) have been selected for presentation in the IBC 2020 Young Statisticians' Showcase session. The winners each receive a stipend of $3,000 (USD) to cover their expenses in attending the IBC in 2020. Click here for the application details.
Representing Africa (Tanzanian Region)
Wende Safari, Department of Mathematics, Universidad A Coruña
Title: Nonparametric estimation of mixture cure model when cure status is partially known
Representing Australia/Asia (Australasian Region)
Luca Maestrini, Faculty of Science, School of Mathematical and Physical Science, University of Technology Sydney
Title: Variational approximate inference for inverse problems motivated by medical tomography
Representing Europe (Netherlands Region)
Mirko Signorelli, Biomedical Data Sciences, Leiden University Medical Center
Title: How to predict a survival outcome using longitudinal and high-dimensional omics data
Representing North America (Eastern North American Region)
Hyo Young Choi, University of Tennessee Health Science Center
Title: SCISSOR: a novel framework for identifying structural changes in RNA transcripts
Representing South America (Argentinean Region)
Franca Giannini Kurina, Statistics and Biometrics, Faculty of Cs. Agricultural, Universidad Nacional de Córdoba
Title: Two step procedure to model site specific herbicide soil persistence
Statistics in Practice I & IIOrganizer and Moderator: Annette Kopp-Schneider (for Education Committee)
Fast algorithms and modern visualizations for feature selection