Dr. Priyangi Bulathsinhala

Assistant Professor

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Biography

Priyangi Bulathsinhala is an Associate Teaching Professor of Statistics at Penn State University. She received her Ph.D. in Statistics from Southern Methodist University in 2016, her M.Sc. in Statistics from the University of Texas at El Paso in 2011, and her B.Sc. in Statistics from the University of Colombo, Sri Lanka in 2008. Her doctoral dissertation investigated optimal spatial methods for analyzing functional connectivity in fMRI data, focusing on improving the detection of functional connectivity in the brain and reducing the number of voxel-based tests that arise from current methods. Bulathsinhala is actively engaged in collaborative projects, including assessments of student attitudes towards Statistics, particularly among adult learners in online graduate courses, and developing statistical methods to analyze fossilized eggshells and their incubation periods. In addition to her teaching role, she serves as an academic advisor for undergraduate Statistics majors and is a member of the ECoS Climate Diversity Committee. She has reviewed for the American Journal of Distance Education since 2019.

Research Interests

Awards

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Co-recipient of the Schreyer Institute’s Teaching and Learning Scholarship (TLS) Grant

2019-01-01
#2011

Outstanding Graduate Student

2011-01-01

Courses

STAT 500 - Applied Statistics STAT 501 - Regression Methods STAT 506 - Sampling Theory Methods STAT 466 - Survey Sampling Methods STAT 462 - Applied Regression Analysis STAT 415 - Introduction Mathematical Statistics STAT 319 - Applied Statistics Science STAT 318 - Elementary Probability

Requirements for Pennsylvania State University

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Writing
Required:24
Speaking
Required:23
Total
Required:100
IELTS
Writing
Required:7
Speaking
Required:7
Overall
Required:7
GRE General
Prerequisites
Master's degree in related field for PhD Baccalaureate degree from accredited institution
Application Checklist
  • Three letters of recommendation
  • Statement of Purpose
  • Writing Sample
  • Official Transcripts
  • Resume/CV
Specialization Notes

GRE scores are highly recommended but not strictly required for Applied Linguistics.