Doctoral Theses
Theses by Department
- Computational and Systems Biology
- Department of Aeronautics and Astronautics
- Department of Architecture
- Department of Biological Engineering
- Department of Biology
- Department of Brain and Cognitive Sciences
- Department of Chemical Engineering
- Department of Chemistry
- Department of Civil and Environmental Engineering
- Department of Earth, Atmospheric, and Planetary Sciences
- Department of Economics
- Department of Electrical Engineering and Computer Sciences
- Department of Humanities
- Department of Linguistics and Philosophy
- Department of Materials Science and Engineering
- Department of Mathematics
- Department of Mechanical Engineering
- Department of Nuclear Science and Engineering
- Department of Ocean Engineering
- Department of Physics
- Department of Political Science
- Department of Urban Studies and Planning
- Engineering Systems Division
- Harvard-MIT Program of Health Sciences and Technology
- Institute for Data, Systems, and Society
- Media Arts & Sciences
- Operations Research Center
- Science, Technology & Society
- Sloan School of Management
- Technology and Policy Program
Recent Submissions
-
New approaches to diagnostic imaging: Magnetic particle imaging for human functional neuroimaging and short mid-field MRI magnet design
(Massachusetts Institute of Technology, 2025-05)Part I: Magnetic Particle Imaging for Human Functional Neuroimaging While Magnetic Resonance Imaging (MRI) has revolutionized diagnostic imaging since its clinical introduction in the 1980s — primarily focusing on hydrogen ... -
Inference-Time Learning Algorithms of Language Models
(Massachusetts Institute of Technology, 2025-05)Modern language models (LMs) can perform complex tasks through in-context learning (ICL)—they can adapt to a task via examples provided in their input without any parameter updates. However, fundamental questions remain ... -
Machine Learning Methods for Single Cell RNA-Sequencing Data to Improve Clinical Oncology
(Massachusetts Institute of Technology, 2025-05)Single-cell RNA sequencing (scRNA-seq) offers a detailed view of the cellular and phenotypic composition of healthy and diseased tissues. While machine learning (ML) methods are well-suited for the high-dimensional nature ...
RSS 1.0