Teaching

Graduate Projects

WuLab welcomes graduate students interested in doing research projects individually or in a team. The projects include but are not limited to Master’s capstone, graduate independent studies (research track), interdisciplinary research, etc. Solid projects are encouraged to convert into M.S. or Ph.D. theses for higher honor and credit.

Topics

Data science, computational statistics, implementation of statistical methods for analyzing big data, development of computation package and software.
Statistical theory and methodology developments in decision-making, signal detection, prediction, and causal inference.
Statistical genetics; statistical method developments and applications in bioinformatics.
Statistical applications in engineering, design of experiments, business, and other areas.

Expectations

Research requires self-motivation, curiosity, patience, and effort.
A dedication to excellent work, going beyond the purpose of earning the credits only.
A successful project usually desires 20 hours or more per week.

Typical activities

Weekly reports, including a summary of method and result and code files, organized using GitHub.
Weekly meetings, discussing achievements, challenges, ideas, and plans for next week in line with the feedback and guidance from the advisor.
A well-written final report, satisfying requirements on organization and format.
For an outstanding project, a manuscript for preparing publication under the advisor’s help.

Previous projects

Incorporating Functional Information to Genetic Association Detection by GFisher

Comparison of Several Predictive Methods of Identifying Vulnerable Plaque Progression

Understanding the Graphlet Algorithm and Applying it to GWAS Analysis

The Algorithm and Computation of the Graphlet Screening Procedure

Use Linear Mixed Effect Model to Control the Dependence in Gene Expression Prediction

Apply Orthogonal Matching Pursuit Algorithm to Detection of Missing Heritability

EM Algorithm and Bayesian Method for Protein Motif Identification

Exome Sequencing Data Process and Analysis for Amyotrophic Lateral Sclerosis

$L_0$-Norm Based Model Selection Strategies for Weak Signal Detection and Gene Hunting

Differential gene expression analysis of RNA-seq in Caenorhabditis elegans with Cuffdiff, DESeq2 and DEXSeq

Higher Criticism Approach to Detect Rare Variants Using Whole Genome Sequencing Data

Novel SNP-set Methods for Genetic Association Study Using Sequencing Data

A Multi-level Model for Analyzing Whole Genome Sequencing Family Data with Longitudinal Traits

Hypotension in Sepsis ICU Patients: Predictive Value of Attribute Subsets

A Review of Linear Regression and Some Basic Proofs for Lasso

Pharmaceutical Market Research Based on Statistical Analysis