The Department of Statistics at Rice University would like to acknowledge and congratulate the 2020-21 graduates from our academic programs.
PhD Program Graduates
- Siya Chen, “Statistical Modeling for Species Count Data with Heterogeneity”
- Rongjie Liu, “Advanced Statistical Learning Methods in Image Processing”
- Michael Weylandt, “Computational and Statistical Methodology for Highly Structured Data”
- Minjie Wang, “Statistical Machine Learning Approaches for Data Integration and Graphical Models”
Master’s Program Graduates
- Qian Chen
- Genyi Huang
- Jong ok La
- Mengting Lei
- Jie Min
- Grace Nie
- Hao Qiu
- Rebecca Louise Schneider
- Yutong Su
- Ye Tian
- Jessica Li Wang
- Lihan Wu
- Manling Xi
- Ziru Xue
- Bojie Zhang
- Yifan Zhang
- Yuchong Zhang
- Ningning Zhu
- Yue Zhou
BA and BS Graduates
- Charles Vinson Abbott, “Post-Operative Arrhythmia Detection in Pediatric Cardiac Patients”
- Vladimir Ivanovich Belik, “Emerging Topics in Health and Environmental Science via Natural Language Processing”
- Charles William Benninger, “Defense Wins Championships: Predicting Team Performance From Individual Statistics in Basketball"
- Joseph Lloyd Duffey, “COVID-19 Impact Analysis on EMS Services”
- George Thomas Elsesser, “Hierarchical Time Series Forecasting of Federal Student Loan Debt"
- Noah Miller Franklin, “Defense Wins Championships: Predicting Team Performance From Individual Statistics in Basketball"
- Jason Michael Gardner, "Understanding Neighborhood Inequity"
- Nicolas Hugo Gargurevich, “Predicting Mental Health Ailments Through the Implementation of Machine Learning Algorithms"
- Parker Morgan Graham, “Closing the Gap: A data science approach to reducing academic achievement gaps among high school students”
- Adam Shai Gurin, “Air Pollution during COVID-19”
- Wei-Lin Hsiao, "Detecting Political Ingroup Language"
- Chuyue Huang, "Optimizing Houston's Emergency Response Fleet Profile"
- Jasper Shih-Cheng Huang, "Building a predictive maintenance model for CCLP compressor's fleet"
- Vincente Andres Iglesias, "Modeling SPX Volatility to Improve Options Pricing"
- Aaryan Jadhav, “COVID-19 Impact Analysis on EMS Services”
- Mengjia Burgstahler Jiang, “Air Pollution during COVID-19”
- Aanu-Oluwa Mervy Jibodu, "Machine Learning Models to Predict the Development of Childhood PTSD in Traumatic Injury Survivors"
- Elijah M. Lipkin, "Understanding Neighborhood Inequity"
- Kyle Shaun Manning, “Anomaly & Data Quality Detection for Oil & Gas operations using Deep Neural Networks”
- Jingxin Mao, "Optimizing Houston's Emergency Response Fleet Profile"
- Marcus B. Martinez, "Optimizing Houston's Emergency Response Fleet Profile"
- Christopher James McCarthy, "Data Science, Meet Emotion: Increasing Empathy in Customer Service Interactions Using Natural Language Processing"
- Cole M. Morgan, “Understanding Risk Factors Associated with Emergency Calls for the Houston Fire Department”
- Joseph Michael Price, "The Bill.com Positive Feedback Cycle: Using Customer Feedback to Understand User Pain Points"
- Ryan Quach, “Automated Anomaly Detection for Oil and Gas Compressors”
- Noushin Naowar Quazi, “"Directionality of Functional Connectivity Across Dorsal Visual and Prefrontal Cortical Areas Assessed by Phase Slope Index Analysis"
- Xin Tan, “Novel Arrhythmias Detection Tool for Children with Congenital Heart Disease”
- Bradley Mitchell Van Allen, “A Comparison of Functional Principal Component Analysis Methods with Accelerometry Applications"
- Emily Yishing Wang, “Community Risk Reduction and Assessment for Fire and Emergency Medical Services”
- Noah Judson John Webb, “Relevant National Factors for Modern Vaccination Distribution"
- Allison Wu, “Defense Wins Championships: Predicting Team Performance From Individual Statistics in Basketball"
- Rosemary Yang, “COVID-19 Impact Analysis on EMS Services”
- Ken Gary Zeng, “Automated Anomaly Detection for Oil and Gas Compressors”
- Sean H. Zhang, “Community Risk Reduction and Assessment for Fire and Emergency Medical Services”
- Youshan Zhou, “Clustering and Predicting Daily Energy Consumption Behavior Using London Smart Meter Data"
Statistics Minors
- Matthew Robert Barclay
- Henry Michael Creamer
- Melinda Jiayu Ding
- Pinglan Gao
- Emma Danny He
- Angela Lydia Hwang
- Alan Baonan Ji,
- Irene Kyungrin Kwon
- Richard Y. Liu
- Le Meng
- Cailey Ann Renken
- Zixin Ye