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Caitlin Whitter

Ph.D. Student at Purdue University

Caitlin Whitter is a Ph.D. student in computer science at Purdue University, focusing on the intersection of machine learning and computational chemistry. Her research involves utilizing high-performance computing (HPC) to analyze large datasets, specifically applying graph convolution networks to predict molecular properties. This work is significant in the field of computational science, where the integration of AI techniques can enhance the understanding of complex chemical systems .14

Whitter has also participated in various research programs, including a summer internship at the Lawrence Berkeley National Laboratory (LBNL) as part of the Department of Energy's Computational Science Graduate Fellowship (CSGF) program. During her time at LBNL, she gained valuable experience that contributed to her expertise in HPC and its applications in scientific research .124

Her academic journey and contributions reflect a commitment to advancing computational methods in chemistry, making her a notable figure in her field .34

Highlights

May 16 · signalhire.com
Caitlin Whitter's email & phone number - Ph.D. Student Researcher ...
Oct 18 · alcf.anl.gov
Argonne training program provides crash course in supercomputing
Argonne training program provides crash course in supercomputing
Sep 14 · crd.lbl.gov
Berkeley Lab Hosts Record 11 CSGF Fellows in 2021

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Caitlin Whitter
Caitlin Whitter, photo 1
Caitlin Whitter, photo 2
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Location

West Lafayette, Indiana, United States