Arnold Caleb Asiimwe • Princeton University

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 medical imaging advised by Prof. Carl Vondrick and supported by the I.I. Rabi Scholars Program.

Below is a summary of my undergraduate research and teaching.

Undergrad research

EvoGS: 4D Gaussian Splatting as a Learned Dynamical System
Arnold Caleb Asiimwe, Carl Vondrick
arxiv preprint (2025)
Paper Code

Efficient MedSAM: Accelerating Medical Image Segmentation via Neural Architecture Search and Knowledge Distillation
Arnold Caleb Asiimwe, William Das, Hadjer Benmeziane, Kaoutar El Magharoui
IEEE International Conference on Edge Computing (2024)
Paper Code

MedVisProg: Medical Visual Programming
Arnold Caleb Asiimwe, Abhinav Kumar, Pranav Rajpurkar
Harvard Summer Institute in Biomedical Informatics (2024)

MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting
Arnold Caleb Asiimwe, Didac Suris, Pranav Rajpurkar, Carl Vondrick
Machine Learning for Healthcare (2024)
Paper Code

Can Hounsfield units on chest CT characterize breast nodules as cystic or solid?
K Capaccione, E Desperito, AC Asiimwe, M Salvatore
Translational Breast Cancer Research (2024)
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Breast Collagen Organization: Variance by Patient Age and Breast Quadrant
Arnold Caleb Asiimwe, Monica Pernia Marin, Mary Salvatore
Diagnostics (2024)
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Teaching

High Performance Machine Learning
Fall 2024, Spring 2025
Graduate Teaching Assistant
Columbia University

Computer Vision II
Spring 2024, Spring 2025
Graduate Teaching Assistant
Columbia University