Talks & Presentations

The Ohio State University, Department of Biomedical Informatics Seminar
spaCraft: Calibrated power analysis and sample-size planning for multi-sample spatial transcriptomics.
Columbus, OH. Planned.

IMS New Researchers Conference (NRC 2026) — Lightning Talk
spaCraft: Calibrated power analysis and sample-size planning for multi-sample spatial transcriptomics.
UMass Amherst, MA. Selected participant; fully funded by NSF and IMS.

1st IMS International New Researchers Conference
Penalized principal machines for sufficient dimension reduction and its efficient computation.
Seville, Spain. One of 50 early-career researchers selected worldwide; funded by IMS.

Purdue University, Department of Statistics
Principal machine: A unified and computationally efficient approach to SDR.
West Lafayette, IN.

Joint Statistical Meetings (JSM 2026), Boston, MA
spaCraft: Calibrated power analysis and sample-size planning for multi-sample spatial transcriptomics.

CFE-CMStatistics 2024, King's College London, London, UK
Computationally efficient sparse sufficient dimension reduction via least squares support vector machine and its extensions.

Korean Statistical Society Summer Conference, Seoul, South Korea
Computationally efficient sparse sufficient dimension reduction via least squares support vector machine and its extensions.

Korean Data Analysis Society Summer Conference, Seoul, South Korea
Computationally efficient sparse sufficient dimension reduction via least squares support vector machine and its extensions.

Korean Data Analysis Society Winter Conference, Pusan, South Korea
Deep neural network based non-crossing multiple quantile regression estimator.

International Army Modeling and Simulation Education Conference, Daejeon, South Korea
A least distance estimator for a multivariate regression model using deep neural networks.

Korean Data Analysis Society Summer Conference, Seoul, South Korea
A unified principal sufficient dimension reduction package: psvmSDR.

2026 Annual Joint Biostatistics Symposium, Columbus, OH
spaDesign2: A statistical framework for power analysis in multi-sample spatial transcriptomics.