The Research Support team at the Carroll School of Management assists faculty with data management and statistical analysis. Below is a brief overview of our services:
- Acquisition and data management.
- Application of contemporary statistical and econometric methods.
- Software support for Stata, Mata, SAS, R/S-Plus, M-Plus, SPSS, and MATLAB.
- Development and debugging of computer programs.
To view a list of sample projects, please visit our faculty projects page.
Please contact us at firstname.lastname@example.org, even if your specific need is not described here. We would like to know what you are working on and how we might help!
Steve Lacey, Research Statistician
Steve Lacey joined the Carroll School of Management in 2008 as a Research Statistician. Steve’s statistical support focuses on structural equation, latent variable, and multilevel models. In addition, he develops programs to extract and restructure data from the Internet (databases, webpages) into forms suitable for statistical analysis. He works mostly in R and Python, but is comfortable with other statistical packages and programming languages.
Steve holds a PhD in Cognitive Psychology from the University of Michigan, Ann Arbor, and has long had a passion for data and statistical methods in the social sciences.
Fulton Hall 535
Rohit Singla, Research Statistician
Rohit Singla joined the Carroll School in 2014. He is proficient in acquisition, managment and analysis of financial and accounting data available through Wharton Research Data Services (WRDS) using computer languages and packages such as SAS, SQL, R and Python. He has a special interest in the fields of data mining, predictive modeling and machine learning.
Rohit holds a PhD in Applied Economics with a minor in Business Statistics from Texas Tech University. He is a certified professional in data mining, SAS programming, R programming, Machine learning and Project Management.
Cushing Hall 336