Hi, I'm Arnold.
I'm a first-year PhD student in computer science at Princeton University. I'm interested in computer vision, reinforcement learning and machine learning, especially in the context of addressing problems in medicine and neuroscience.
I graduated from Columbia University in 2025 and my undergraduate research was in computer vision and machine learning for biomedical applications. I was advised by Carl Vondrick, Elias B. Issa at the Center for Theoretical Neuroscience and Mary Salvatore at Columbia Irving Medical Center and supported by the I.I. Rabi Scholars Program.
During this time, I also worked with Pranav Rajpurkar at Harvard Medical School, and Kaoutar El Magharoui at IBM Research.
Below is a summary of my undergraduate research and teaching.
Undergrad research
Arnold Caleb Asiimwe, Carl Vondrick
arxiv preprint (2025)
PaperCodeProject Page
Arnold Caleb Asiimwe, William Das, Hadjer Benmeziane, Kaoutar El Magharoui
IEEE International Conference on Edge Computing (2024)
PaperProject Page
Arnold Caleb Asiimwe, Abhinav Kumar, Pranav Rajpurkar
Harvard Summer Institute in Biomedical Informatics (2024)
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Arnold Caleb Asiimwe, Didac Suris, Pranav Rajpurkar, Carl Vondrick
Machine Learning for Healthcare (2024)
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K Capaccione, E Desperito, AC Asiimwe, M Salvatore
Translational Breast Cancer Research (2024)
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Arnold Caleb Asiimwe, Monica Pernia Marin, Mary Salvatore
Diagnostics (2024)
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