Austin Lovell

Bio

I'm a Computer Science M.S. student at Purdue University with an interest in machine learning, computer vision, high-performance computing, and software engineering. I graduated with a Bachelor's in Computer Science from Purdue University in December 2024.

Experience

• Pacific Northwest National Laboratory — Richland, WA (May 2025 - Aug 2025)
  Software Engineering Intern
• Summer Undergraduate Research Fellowship — Purdue University (May 2024 - Aug 2024)
  Research Fellowship
• Indigo BioAutomation — Carmel, IN (May 2023 - Aug 2023)
  Software Engineering Intern
• Matrix Design Group — Newburgh, IN (May 2022 - Aug 2022)
  Software Engineering Intern
• Undergraduate Teaching Assistant — Purdue University (Aug 2023 - May 2024)
  Teaching Assistant

Research

Undergraduate Research in SKILL Lab — Purdue University
Researcher (Sep 2023 - May 2025)

Researched and implemented computer vision methods using PyTorch to track human facial movements during speech for improved diagnosis of sensorimotor issues. Achieved tracking accuracy sub 1 millimeter error with novel methods. Advised by Prof. Raymond Yeh and Prof. Kwang S. Kim at Purdue University. First authored a paper with results from this research, which is currently under review for submission to IEEE Transactions on Neural Systems & Rehabilitation Engineering.
[Code]

Research Fellowship with Purdue RCAC — Purdue University
Researcher (May 2024 - Aug 2024)

As part of the SURF program with the Rosen Center for Advanced Computing, I developed a hierarchical deep neural network with PyTorch to predict job queue times on Anvil, a Top 500 supercomputer. For this work, I first authored and presented on a research paper at SC24, the largest HPC conference.

Publications

• 3D markerless tracking of speech movements with submillimeter accuracy
  Austin Lovell, James Liu, Arielle Borovsky, Raymond A Yeh, Kwang S Kim.
  Preprint [PDF]
• A Hierarchical Deep Learning Approach for Predicting Job Queue Times in HPC Systems
  Austin Lovell, Philip Wisniewski, Sarah Rodenbeck, Ashish.
  SC24 [PDF]

Academic Work

• Undergraduate Teaching Assistant (CS 252) — Purdue University (Aug 2023 - May 2024)
  Advised students and answered questions in weekly lab sections for a C++ based systems programming course. Evaluated code standards and graded exams for over 2,000 student submissions.
• Machine Learning Reproducibility Hackathon — Purdue University (Sep 2023 - Dec 2023)
  Working with another Purdue CS student, successfully reproduced results of an ICCV 2023 computer vision paper and introduced new experiments in our own paper. Placed 3rd at a DagsHub sponsored hackathon.
  [Code] [PDF]

Honors and Awards

• Purdue University: Department of Computer Science Kunze Scholarship award winner (2024)
• Purdue University: Selected for Summer Undergraduate Research Fellowship (2024)
• Purdue University: Department of Computer Science "Outstanding Freshman" award winner (2021-2022)