Caitlin Whitter

Program Years:

2018–2022

University:

Purdue University

Field of Study:

Computer Science

Advisor:

Alex Pothen

Degree(s):

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

Status:

Ph.D. Student, Computer Science, Purdue University

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

)