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Caitlin Whitter

Headshot of Caitlin Whitter
Program Years:
2018–2022
University:
Purdue University
Field of Study:
Computer Science
Advisor:
Alex Pothen
Degree(s):
Ph.D. Computer Science, Purdue University, 2026
M.S. Computer Science, Purdue University, 2024
B.S. Computer Science, The George Washington University, 2018

Practicum Experience(s)

Lawrence Berkeley National Laboratory (2021)

Practicum Supervisor(s):
Yu-Hang
Tang
Practicum Title:
Molecular Dataset Summarization

Lawrence Berkeley National Laboratory (2019)

Practicum Supervisor(s):
Aydın
Buluç
Practicum Title:
Preconditioning Techniques for the Marginalized Graph Kernel

Current Status

Research Area:
Computer Science
Personal URL:
https://www.linkedin.com/in/caitlinwhitter

Annual Program Review Abstracts

Fellow Presentation
: Physics-Informed Prediction of Molecular Properties Using a Graph Convolutional Network (
2022
)
Fellow Poster
: Molecular Property Prediction With Graph Neural Networks (
2021
)
Fellow Poster
: Preconditioning Techniques for the Marginalized Graph Kernel (
2019
)