Arnold Caleb Asiimwe
Arnold, originally from Uganda, is one of the I.I. Rabi Scholars and an undergraduate in the class of 2025 at Columbia University, majoring in computer science and chemistry. He is advised by Prof. Carl Vondrick in the Computer Vision lab, Prof. Elias B. Issa at the Zuckerman Institute and Dr. Mary Salvatore at Columbia University Irving Medical Center.
His research is broadly focused on applying computer vision, robotics and language learning to problems in the natural sciences. His research interests range from multimodal machine learning, high-performance machine learning, enhancing model explainability with a focus on model efficiency motivated by insights from neuroscience.
He was a Rhodes Scholarship finalist and a recipient of the Theodore R. Bashkow Award for excellence in independent projects. He will start his PhD in computer science at Princeton in fall 2025.
Affiliations:
with Prof. Kaoutar El Maghraoui.
Harvard Medical School (DBMI)
with Prof. Pranav Rajpurkar.
Teaching:
Graduate Teaching Assistant
Fall 2024, Spring 2025 (Prof. Kaoutar El Maghraoui)
Computer Vision II
Graduate Teaching Assistant
Spring 2024, Spring 2025 (Prof. Carl Vondrick)
Frontiers of Science
Teaching Assistant
Spring 2022, 2023, 2024
Machine Learning and Python fundamentals
Laidlaw Scholar Graduate Tutor
Summer A 2024
Research:
MedVisProg: Medical Visual Programming
Ongoing Research (Prototype)
Demo
MedAutoCorrect: Image-conditioned autocorrection in medical reporting
A.C. Asiimwe, D. Surís, P. Rajpurkar & C. Vondrick
Machine Learning for Healthcare Conference 2024
Paper | Project Page
EfficientMedSAM: Accelerating Medical Image Segmentation via Neural Architecture Search and Knowledge Distillation
A.C. Asiimwe, W. Das, H. Benmeziane & K. El Maghraoui
IEEE International Conference on Edge Computing and Communications 2024
Paper | Project Page
Breast Collagen Organization: Variance by Patient Age and Breast Quadrant
A.C. Asiimwe, M. Pernia & M. Salvatore
Diagnostics 2024
Cardiothoracic Imaging: Recent Techniques and Applications in Diagnostics, Second Edition
Paper
Can Hounsfield units on chest CT characterize breast nodules as cystic or solid?
K. Capaccione, E. Desperito, A.C. Asiimwe & M. Salvatore
Translational Breast Cancer Research 2024
Paper