Hongmei Jiang

 

Professor of Statistics and Data Science

Director of MS in Statistics and Data Science Program

Department of Statistics and Data Science

Northwestern University

 

Associate Director

Institute for Mathematical and Statistical Innovation (IMSI)

Address:

 

Department of Statistics and Data Science, Northwestern University

2006 Sheridan Road, Evanston, IL 60208

Office: Room 101A

Phone: (847) 467-1087

Fax: (847) 491-4939

Email: hongmei@northwestern.edu

Teaching in Fall 2024:

 

STAT 350: Regression Analysis

Courses I have taught:

 

·      STAT 350: Regression Analysis

·      STAT 351: Design and Analysis of Experiment

·      IBIS 432 / STAT 332: Statistics for Life Sciences

·      STAT 202: Introduction to Statistics

·      STAT 210: Introduction to Probability and Statistics

Research interests:

 

·      Design and analysis of high throughput -omics data

·      Longitudinal data and survival data analysis

·      Multiple comparisons and multiple tests

 

  

Ph.D. Graduates:

 

1.     Juanjuan Li (December 2012, co-advisor with Professor Wenxin Jiang) Bayesian Variable Selection for High-Dimensional Clustering

2.     Zhenyu Zhao (June 2014, co-advisor with Professor Thomas Severini) Integrated Likelihood Computation Methods and Application

3.     Pan Wang (March 2019) Variable Selection for High Dimensional Compositional Data with Application in Metagenomics

4.     Yishu Wei (June 2019) Subgroup Identification in Longitudinal Studies

5.     Yuanjing Ma (June 2020) Topics in Microbiome Data Analysis: Normalization and Differential Abundance Test and Large-Scale Human Microbe-Disease Association Prediction

6.     Aaron Kleyn (March 2021) Comparative Analysis of Feature Selection and Classification Methods for Epigenetic Methylation Data

7.     Jiahui (Joanna) Lyu (June 2023, joint with Professor Lihui Zhao) Risk Prediction with Longitudinal Gene Expression Data Using Statistical Modeling and Machine Learning Method

 

Software:

 

·      TAMER: taxonomic assignment of metagenomic sequence reads

·      REBACCA: microbial interaction patterns based on metagenomics data

·      RioNorm2: a novel normalization and differential abundance test framework for microbiome data (Here is a short tutorial on RioNorm2 :)

·      NinimHMDA: Neural Integration of Neighborhood Information on a Multiplex Heterogeneous Network for Multiple Types of Human Microbe-Disease Association

Selected Recent Publications (underlined names indicate student or postdoc co-authors):

 

1.     Xu, Y., Jiang, H., and Jiang W. (2021) Extended graphical Lasso for multiple interaction networks for high dimensional computational data. PLOS Computational Biology.

2.     Ma, Y. and Jiang, H. (2020) NinimHMDA: Neural Integration of Neighborhood Information on a Multiplex Heterogeneous Network for Multiple Types of Human Microbe-Disease Association. Bioinformatics.

3.     Ma, Y., Luo, Y., and Jiang, H. (2020) A Novel Normalization and Differential Abundance Test Framework for Microbiome Data. Bioinformatics.

4.     Wei Y., Liu, L., Su, X., Zhao, L., and Jiang, H. (2020) Precision medicine: Subgroup identification in longitudinal trajectories. Statistical Methods in Medical Research.

5.     Wang, P. and Jiang, H. (2019) Variable Selection for High Dimensional Compositional Data with Application in Metagenomics. Contemporary Biostatistics with Biopharmaceutical Applications. Pages: 19-32.