About me

Address: 402 E 67th St, LA-245, New York, NY 10065

I am an Assistant Professor in the Biostatistics Division in the Population Health Sciences Department at Weill Cornell Medicine. Prior to joining WCM, I was a post-doctoral research fellow at Fred Hutchinson Cancer Center working with Professor Michael C. Wu. I received my PhD degree in Biostatistics from Columbia University in the research groups of Professors Ying Wei and Ken Cheung. Prior to that, I received my bachelor's degree in Mathematics and Economics with minor in Information Technology (Computer Science) from Hong Kong University of Science and Technology.

My research interests lie in the development and application of robust and powerful quantile regression or deep learning approaches for complex structured data in biomedical research, especially -omics data (e.g., microbiome data). Here is my CV.

I love music, enjoy playing piano and singing in choir. I performed as a member of Beijing Philharmonic Choir for more than 10 years and spent 4 years as an Alto in HKUST UChoir.

Honors & Awards

ASA W. J. Youden Award in Interlaboratory Testing (2023)
Joseph L. Fleiss Prize for Outstanding Dissertation, Columbia University (2020)
ENAR Distinguished Student Paper Award (2020)
iBRIGHT Conference Travel Award, MD Anderson Cancer Center (2019)
First Prize, Citadel NYC Datathon (2017)
First Class Honors, Hong Kong University of Science and Technology (2013)

Selected Talks

Invited Talk: "Robust and comprehensive mapping of microbe-outcome relationships via zero-inflated quantile processes", WNAR, Anchorage, AK, June 2023.

Seminar Talk: ``Statistical analysis of large-scale microbiome-profiling studies: batch effects and robust testing'', Department of Biostatistics, Peking University, Virtual, May 2023.

Invited Talk: ``Genome-microbiome association testing via integrated zero-inflated quantile processes '', ENAR, Nashville, TN, March 2023.

Seminar Talk: "Statistical analysis of large-scale microbiome-profiling studies: batch effect and robust testing", I-HDS & The Brookdale Dept. of Geriatrics & Palliative Med, Icahn School of Medicine at Mount Sinai, Virtual, Feb 2023.

Seminar Talk: "Statistical analysis of large-scale microbiome-profiling studies: batch effect and robust testing", Center for Statistical Science, Tsinghua University, Virtual, Oct 2022.

Invited Talk: "DeepEn-Phy: Deep ensemble learning over the microbial phylogenetic tree", ICSA Applied Statistics Symposium, Gainesville, FL, June 2022.

Invited Talk: "Zero-inflated quantile rank-score based test (ZIQRank) with application to scRNA-seq differential gene expression analysis", EcoSta, Kyoto, Japan, June 2022.

Selected Open Access Highlight: "Powerful and robust non-parametric association testing for microbiome data via a zero-inflated quantile approach (ZINQ)", Microbiome Virtual International Forum, October 2021.

Invited Talk: "Batch effects removal for microbiome data via conditional quantile regression (ConQuR)", Joint Statistical Meetings, Virtual (Planned in Seattle, WA), August 2021.

Invited Talk: "ConQuR: batch effects correction for microbiome data via conditional quantile regression", CMStatistics, Virtual (Planned in London, UK), December 2020.

Invited Talk: "Powerful and robust non-parametric association testing for microbiome data via a zero-inflated quantile approach (ZINQ)", Microbiome Virtual Working Group, Johns Hopkins University, July 2020.

Awardee Talk: "Zero-inflated quantile rank-score based test (ZIQRank) with application to scRNA-seq differential gene expression analysis", ENAR, Virtual (Planned in Nashville, TN), March 2020.

Invited Talk: "Deep responder analysis and deep quantile regression", ICSA Applied Statistics Symposium, Raleigh, NC, June 2019.