SCS Consulting Team - Fall 2023

The SCS is staffed by late-career Ph.D. students from UConn's Department of Statistics. These students come from diverse backgrounds and have a wide variety of skills and interests. This allows the SCS to offer analytical support on a wide range of research topics, and provide assistance on a number commonly encountered statistical issues, such as, missing data imputation, generalized linear and non-linear mixed effects models, time series analysis, variable selection, and many more!

 

SCS Director

Timothy E. Moore
Director of SCS, Center for Open Research Resources & Equipment

timothy.e.moore@uconn.edu

SCS Faculty Advisor

Xiaojing Wang
Associate Professor, Department of Statistics

xiaojing.wang@uconn.edu

Graduate Assistant Consultants

About   Research Interests

Zoe Gibbs
elizabeth.j.gibbs@uconn.edu

 I am a fourth year PhD student in the Department of Statistics.  I received my BS and MS in Statistics from Brigham Young University.
  • Bayesian analysis
  • Mobile health data
  • Missing data
  • R and Python

Chaeyeon Yoo
chaeyeon.yoo@uconn.edu

 

 I'm a fourth year PhD student in the Department of Statistics. I received my BS and MS in statistics from Ewha Womans University in South Korea.
  • Bayesian data analysis
  • R

Lucas Da Cunha Godoy
lucas.godoy@uconn.edu

 I'm a fifth-year PhD student at the Department of Statistics. I earned a BS in Statistics from the Universidade Federal do Rio Grande do Sul, an MSc in Statistics from the Universidade Federal de Minas Gerais, and an MSc in Statistics from UConn. Most of my research experience is in Spatial and Bayesian Statistics. I'm particularly interested in public health, epidemiological, and environmental data analysis
  • Applied statistic
  • Spatial statistics
  • Statistical computing

Jongwoo Choi
jongwoo.choi@uconn.edu

 I am a second year Ph.D. student in the Department of Statistics. I received my BS in Mathematics from California State University Chico and my MA in Statistics from Columbia University.

 

 
  • Bayesian data analysis
  • Machine Learning & Deep Learning
  • Longitudinal data analysis
  • R, SAS, Python

Garrett Frady
garrett.frady@uconn.edu

 

 

  

I am a fifth year PhD student in the Department of Statistics. I previously received my BA/MA in mathematics and my BA in computer science from the State University of New York (SUNY) at Potsdam.
  • Spatial-temporal statistics
  • Mathematical statistics
  • Bayesian statistics
  • Statistical consulting

SCS Administrative Specialist

Garrett Frady
garrett.frady@uconn.edu