SDS is the college’s newest academic unit - serving 16 tenure/tenure track faculty members, 12 instructional faculty members, three lecturers, and two adjunct faculty. The department houses 42 PhD students, and offers 800+ hours of free consulting services and statistical software short courses to university faculty, staff and students each year.
ADMINISTRATIVE STAFF
CONSULTING AND PROFESSIONAL EDUCATION STAFF
ADMINISTRATIVE STAFF
Sasha Schellenberg
Email: sasha.schellenberg@austin.utexas.edu
Assistant Director of Administration
Phone: (512) 232-9217
Victoria Obioma
Email: vobioma@austin.utexas.edu
Sr. Administrative Associate
HR Contact, Financials/Reimbursements, Department Purchasing
Phone: (512) 232-0691
Linda Song
Email: linda.song@austin.utexas.edu
Executive Assistant
Phone: (512) 232-0693
Jeanene Imerzel
Email: jeanene.imerzel@austin.utexas.edu
Sr. Grants and Contracts Specialist
Phone: (512) 475-8788
Abby Black
Email: black@austin.utexas.edu
Program Coordinator
Course Scheduling, GPC Room Requests, Graduate Academic Support
Phone: (512) 471-7618
Eric Busch
Email: Eric.Busch@austin.utexas.edu
Director for Online Programs
Phone: (512) 471-4660
Sanaya Nasta
Email: sanaya.nasta@austin.utexas.edu
Student Assistant
Administrative Support to SDS Staff
Anisa Noor
Email: noora@austin.utexas.edu
Student Assistant
Administrative Support to SDS Staff
Stat Cat
Email: stat.admin@austin.utexas.edu
Statistics Enthusiast
CONSULTING AND PROFESSIONAL EDUCATION STAFF
Nathaniel Woodward, Ph.D.
Technical Areas of Interest: Experimental design, Causal inference, Regression analysis, Bayesian methods, Non-parametric methods, Psychometrics
Appointment Availability: Mon 3-5pm
Background: Nathaniel is an SDS faculty member who previously consulted for the department as a graduate student in 2017. He has experience working on research projects large and small, mostly in the behavioral sciences. He currently teaches undergraduate courses in statistics and has also taught SSI short courses in Causal Inference and Bayesian Statistics. He uses the following statistical computing software in order of decreasing fluency: R, RStudio/Tidyverse, Python, SPSS, Matlab/Octave, Stata, SAS
Education: Ph.D., Educational Psychology, UT Austin, 2018; M.S., Statistics, UT Austin, 2016; B.A., Biology, Reed College, 2012.
