Charlie Lu
Updated April, 2024

Now

I am a PhD student at the MIT Media Lab in the Camera Culture group, advised by Prof. Ramesh Raskar, where I research incentives and alignment in data-centric machine learning. I am fortunate to be supported by the National Science Foundation's Graduate Research Fellowship.

Before

• Developed deep learning medical devices for radiology applications at the Martinos Center for Biomedical Imaging, supervised by Prof. Jayashree Kalpathy-Cramer
• Researched distributed machine learning techniques for the Summit supercomputer, supervised by Dr. Arvind Ramanathan
• Analyzed satellite imagery of damage from Hurricane Irma in Miami Beach, supervised by Prof. Marguerite Madden
• Quantified abnormal ciliary motion in microscopy with optical flow and deep learning, supervised by Prof. Shannon Quinn

Papers

• Data Acquisition via Experimental Design for Decentralized Data Markets. Preprint 2024
• Federated Conformal Predictors for Distributed Uncertainty Quantification. ICML 2023
• Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets. MICCAI 2022
• Fair Conformal Predictors for Applications in Medical Imaging AAAI 2022
• Quantification of the Thoracic Aorta and Detection of Aneurysm at CT: Development and Validation of a Fully Automatic Methodology. Radiology: Artificial Intelligence

More info

• Google Scholar
• Github
• LinkedIn
• ORCID number