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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

Sasha Schellenberg

Email: sasha.schellenberg@austin.utexas.edu
Departmental Administrative Officer
Phone: (512) 232-9217

 

 

  

 

 

 

Victoria ObiomaVictoria Obioma

Email: vobioma@austin.utexas.edu
Sr. Administrative Associate
HR Contact, Financials/Reimbursements, Department Purchasing
Phone: (512) 232-0691

 

 

 

 

 

Linda SongLinda Song

Email: linda.song@austin.utexas.edu
Executive Assistant
Phone: (512) 232-0693

 

 

 

 

 

 

IMG 0112Jeanene Imerzel

Email: jeanene.imerzel@austin.utexas.edu
Sr. Grants and Contracts Specialist
Phone: (512) 475-8788

 

 

 

 

 

 

Abby Black

Abby Black

Email: black@austin.utexas.edu
Program Coordinator
Course Scheduling, GPC Room Requests, Graduate Academic Support
Phone: (512) 471-7618

 

 

 

 

 

Sanaya NastaSanaya Nasta

Email: sanaya.nasta@austin.utexas.edu
Student Assistant
Administrative Support to SDS Staff

 

 

 

 

 

Stat Cat.1Stat Cat

Email: stat.admin@austin.utexas.edu
Statistics Enthusiast




 

 

 

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CONSULTING AND PROFESSIONAL EDUCATION STAFF

 

Woodward NathanielNathaniel 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.


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