Welcome

I am a PhD student in computer science at UT Austin. I work with Calvin Lin in the Speedway Group on using machine learning models to manage the CPU memory hierarchy.

Prior to joining UT Austin, I graduated with a bachelor's degree in computer engineering from the University of Arkansas, where I was advised by Justin Zhan. I have also worked with the CORGi Research Group at Carnegie Mellon University with Nathan Beckmann.

My PhD is currently supported by an NSF Graduate Research Fellowship.

Research Affiliations

Current affiliations

Past affiliations

Refereed Publications

Baleen: ML Admission & Prefetching for Flash Caches, Daniel Lin-Kit Wong, Hao Wu, Carson Molder, Sathya Gunasekar, Jimmy Lu, Snehal Khandkar, Abhinav Sharma, Daniel S. Berger, Nathan Beckmann, and Gregory R. Ganger. FAST '24. February 2024.

Paper Code

MitoCellPhe reveals mitochondrial morphologies in single fibroblasts and clustered stem cells, Ajibola B. Bakare, Fibi Meshrkey, Benjamin Lowe, Carson Molder, Raj R. Rao, Justin Zhan, and Shilpa Iyer. American Journal of Physiology - Cell Physiology. September 2021.

Paper

Learning Medical Materials from Radiography Images, Carson Molder, Benjamin Lowe, and Justin Zhan. Frontiers in Artificial Intelligence. June 2021.

Paper Code

Manuscripts

Using Deep Learning to Analyze Materials in Medical Images, Carson Molder. Honors Thesis. 2021.

Paper Code

Enhancing Optocoupler Effectiveness at High Temperatures with Luminescent Wide-Bandgap Semiconductors, Denver Eagar and Carson Molder. 10th Annual Honors Engineering Symposium. 2018.

News

2024

2023

2022

2021