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The Students
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Dr. Dalzell's Research Students
These are the excellent students I am currently working with on a statistical research project, applied data project, writing project, or other work.
Thesis Research Students
Ziyi (Sophie) Li
Spring 2022 - Fall 2022
METHODS AND CONSIDERATIONS FOR MODELING FAKE NEWS
A Model Comparison
Elizabeth MacDonald
Fall 2022 - Spring 2023
An ANalysis of voting behavior at wake Forest and an assessment of physical mobility accessibility on campus
Collaborative Research Project
Sienna Mao, Ziyue Zhang, Andrea Zhang
These students are utilizing data from the 2019 Census to provide insight on enhancing family involvement in their children's education.
This data is provided as part of the ASA Fall Data Challenge 2022.
Previous Research Students
2022 - 2023
Full Year Students
(26) Elizabeth MacDonald (current student)
Project1 : An Analysis of Voting Behavior at Wake Forest University
Project 2: Using Data to explore Physical Mobility Accessibility at Wake Forest University
(25) Ziyi (Sophie) Li (current student)
Methods and Considerations for Modeling Fake News
Senior Capstone Students
Project 1 : Environmental InJustice
Boxi Chen
Waiel Gafar
Leyi Sun
Project 2 : An Analysis of Jury Trends in NC
Xinyuan (Evangeline) Cao
Yifan Lu
Nico Panos
Jiayi Zhou
Project 3 : Predictive Analystics in the NFL
Julia Breckenridge
Elyse Swift
Sam Zechman
2021 - 2022
Full Year Students
(24) Yining (Iris) Liu
Text Analysis of Animal Crossing Data - Players vs. Reviewers
(23) Sherry Mao
A Visual Analysis of Difference in Online
Platform Uses in K-12 Schools during COVID-19.
Senior Capstone Students
Project 1: An Analysis of Stock Market Features
Jessica Cao
Patrick Fan
Andre Gheilerman
Ethan Lewis
Caitlyn Marsac
Project 2 - An Analysis of Disaster Tweets on Twitter
Sylvia Li
Echo Liu
Victoria Zhang
Katherine Zhu
Project 3 - Building a Predictive Model to Identify Fake Job Postings
Aiai Chen
Sixuan Liu
Project 4 - Online Education During the COVID 19 Pandemic - An Analysis
Mackenzie Wood
Amy Zinnia
2020 - 2021
Full Year Students
(22) Taylor Longmire
Project 1: A Longitudinal Analysis of Behavioral Trends and Cultural
Norms across 4 Generations in California.
Project 2: An Analysis of Difference in Online
Platform Uses in K-12 Schools during COVID-19.
2019 - 2020
Full Year Students
(21) Benjamin Liu:
Differential Privacy and Synthetic Data.
(20) Tian (Simon) Yun:
Natural Language Processing and Latent Dirichlet Allocation.
(19) Guanqi Zeng:
Bayesian Approaches to Record Linkage
(18) Binfeng (Bill) Xu:
Iterative Constringency Optimization: Preclustering Approach to Agent Interactive Data.
Fall Semester Students
(17) Weixi (Frank) Cheng:
A Bayesian Approach to Market Data Modeling in Financial Engineering.
(16) Gus Conwell:
An Analysis of the Impact of the New Gym on Student Gym Behavior at Wake Forest University.
(15) Siyi Liu:
Understanding Poverty in New York City using Linear and Non-Linear Modeling Approaches.
(14) Alison Scarlett:
An Analysis of Student Health Data at Wake Forest.
(13) Matt Sherrick:
Canton, Ohio Forecasting: Using Statistical Analysis and Visualization to Predict Future NFL Hall of Fame Inductees.
(12) Yijie (Eric) Yang:
Meta-analysis for the Relationship between Violent Video Games and Violent Tendencies.
(11) Hang (Oriana) Zhao:
Customer Buying Habits - What do they buy together or buy next?
2018 - 2019
Full Year Students
(10) Yiwen Tang:
Classifying Hate Speech Using a Two-Stage Model.
(9) Dave Segall:
Promoting Effective Teaching Through Comprehensive Evaluation Systems.
Fall Semester Students
(8) Echo Dong:
The Data Scientist Job Market: Using Text Analysis to Distinguish Requirements of Different Types of Statistics and Data Science Jobs.
(7) Curtis Golden:
S& P, Moody’s, Fitch: Credit Profiles within Business.
(6) Weston Morgan:
Urban Air Pollution Analysis using Random Intercept Models.
(5) Jian Shue:
Categorical Data Methods for Chicago Crime Data.
(4) Karina Tang:
Using Mixed Effects Models to Predict the Potential of Professional Soccer Players.
(3) Wenbo Ye:
Bayesian Game Theory and its Application in Economics and Finance.
(2) Stanley Yuan:
An Exploration in Machine Learning Approaches with an NBA data application.
2017 - 2018
Full Year Students
(1) Peter Fabian: Play-by-play Win Probability in NFL Football Games.