About Me

Patrick R. Perrine

Computer Science M.S.,
Cal Poly in San Luis Obispo (Cal Poly),
Class of 2023

B.S. Computer Science,
San Diego State University (SDSU),
Class of 2020

Research Interests:
Machine Learning,
Artificial Intelligence,
Computational Neuroscience

Email: paperrin [AT] calpoly [DOT] edu

• Google
• LinkedIn

About Me

Hello! I am a Computer Science researcher working remotely for Cal Poly in San Luis Obispo. My current research interests lie in building foundational machine learning methods for interdisciplinary applications.

My master’s thesis research consisted of an implementation of the Neuroidal model for use in unsupervised machine learning [3, 5, 6, 7]. Other previous research experience includes designing LSTM and GAN-based deep learning systems for interdisciplinary use such as human motion prediction/generation [4] and image processing optimization [1].

Research

[7] Ethan I. Wolfe, Patrick R. Perrine, Mugizi R. Rwebangira. “Small-Worlds Memory Generation and Capacity in the Neuroidal Model.” In 8th International Conference on Cognitive Computational Neuroscience (CCN), Amsterdam, August 2025. [Paper] [Code] [Poster]

[6] Eben M. Sherwood, Patrick R. Perrine, Mugizi R. Rwebangira. “Sequential Memory Generation in the Neuroidal Model.” In 8th International Conference on Cognitive Computational Neuroscience (CCN), Amsterdam, August 2025. [Paper] [Code] [Poster]

[5] Patrick R. Perrine, Chandradeep Chowdhury, Mugizi R. Rwebangira. “Capacity of the Neuroidal Model for Shared Memory Representations.” In 7th International Conference on Cognitive Computational Neuroscience (CCN), Boston, August 2024. [Paper] [Code] [Poster]

[4] Patrick Perrine, Trevor Kirkby. “KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art.” In Proceedings of the International Conference on Artificial Intelligence and Virtual Reality (AIVR), Smart Innovation, Systems and Technologies (SIST) 382:331–341, Kumamoto, July 2023. Springer-Verlag. [Paper] [Code] [arXiv Preprint]

[3] Patrick Perrine. “Neural Tabula Rasa: Foundations for Realistic Memories and Learning.” Master’s thesis. California Polytechnic State University. June 2023. [Thesis] [Code] [LaTeX]

[2] Patrick Perrine. “Inaccessible Neural Language Models Could Reinvigorate Linguistic Nativism”. arXiv preprint arXiv:2301.05272, January 2023. [Paper]

[1] Patrick Perrine, et al. “High Quality Video Compression and Reconstruction.” In SDSU Student Research Symposium 2020, February 29, 2020. San Diego State University Research Affairs. p. 200. [Abstract]

Teaching

Cal Poly in San Luis Obispo

• Winter 2023: Discrete Structures, Instructor [Info]
• Fall 2022: Graduate Artificial Intelligence, Assistant
• Fall 2022: Computer Vision, Assistant
• Winter 2022: Introduction to Data Science, Assistant
• Winter 2022: Knowledge Discovery from Data, Assistant
• Fall 2021: Computer Vision, Assistant
• Fall 2021: Artificial Intelligence, Assistant

San Diego State University

• Spring 2020: Programming Languages (Python, C, C++), Assistant
• Summer 2019: Intermediate Computer Programming (Java), Assistant
• Spring 2019: Intermediate Computer Programming (Java), Assistant

Honors and Awards

• NSF ACCESS Explore Grant [Info]
• Graduate Assistant Fellowship (x2), Cal Poly Graduate Education [Info]
• Graduate Equity Fellowship, Cal Poly Graduate Education
• Leadership Certificate, SDSU Student Life & Leadership [Info]
• National Society of Leadership and Success
• Golden Key Honors Society

Service

Research Communities

• Social Event Organizer, Interdisciplinary ML Mixer, NeurIPS 2022 (In-Person) [Feedback] [Info]
• Social Event Organizer, Interdisciplinary ML Mixer, ICML 2022 (In-Person) [Info]
• Social Event Organizer, Interdisciplinary ML: Bridging Gaps and Building Graphs, NeurIPS 2021 (Virtual) [Info]

Cal Poly in San Luis Obispo

• Co-President, Cal Poly Computer Science + Artificial Intelligence Club (Fall 2021 – Summer 2022)
• Faculty Candidate Reviewer, Cal Poly Computer Science & Software Engineering Department (Winter 2022)
• Graduate Student Representative, Cal Poly Associated Students Inc. (Fall 2021- Spring 2022)

San Diego State University

• President, SDSU Artificial Intelligence Club (Fall/Spring 2020)
• Treasurer, SDSU Cyber Defense Team (Fall/Spring 2020)
• VP of Community Service, SDSU College of Sciences Student Council (Fall/Spring 2020)
• Outreach Coordinator, SDSU Virtual Reality Club (Fall/Spring 2020)
• Faculty Candidate Reviewer, SDSU Computer Science Department (Spring 2020)
• Council Representative, SDSU University Affairs Board (Spring 2020)