Hi, I'm Austin Lovell

• May 2025 - August 2025
  Pacific Northwest National Laboratory
  Software Engineering Intern
• May 2024 - August 2024
  Summer Undergraduate Research Fellowship with Purdue University RCAC
  Research Fellowship
• May 2023 - August 2023
  Indigo BioAutomation
  Software Engineering Intern
• May 2022 - August 2022
  Matrix Design Group
  Software Engineering Intern

Research Experience

• September 2023 - May 2025
  Undergraduate Researcher - SKILL Lab @ Purdue
  Purdue University
  Researched and implemented computer vision methods to track human facial movements during speech for improved diagnosis of sensorimotor issues. Achieved sub 1 millimeter error tracking accuracy with novel methods.
  Advised by Prof. Raymond Yeh and Prof. Kwang S. Kim at Purdue University.

Academic Work

• August 2023 - May 2024
  Undergraduate Teaching Assistant - CS 252
  Purdue University
  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.

Publications

• •
  Lovell, A., Liu, J., Borovsky, A., Yeh, R.A., and Kim, K.S. (2025). 3D markerless tracking of speech movements with submillimeter accuracy. bioRxiv [Preprint]. [doi]
• •
  Lovell, A., Wisniewski, P., Rodenbeck, S., and Ashish (2024). A Hierarchical Deep Learning Approach for Predicting Job Queue Times in HPC Systems. Proceedings of the SC '24 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, 621–628. IEEE Press. [doi]