News

I’ll be presenting my poster, Concordance Analysis of Vision-Encoding CNNs for Chest Radiography with Large Language Models, at the RSNA 2026 Annual Meeting in Chicago (Nov 29 – Dec 3, 2026).

Our preprint, NeuroVLM: A generative vision-language framework for human neuroimaging, with the Voytek Lab, is now up on bioRxiv.

Contributed to a review, Artificial Intelligence in Cardiovascular MRI: From Imaging to Biomechanics and Diagnosis, with the AiDA Lab, published in the Journal of Thoracic Imaging.

I’ll be presenting my poster, NeuroVLM: A Neuroscience Vision-Language Model, at the Society for Neuroscience (SfN) 2025 Annual Meeting in San Diego (Nov 15–19, 2025).

Our paper on deep learning–based fetal brain age prediction to identify cerebral ventriculomegaly, from my time at the Fetal-Neonatal Neuroimaging and Developmental Science Center (Boston Children’s Hospital / Harvard Medical School), was published in Radiology: Artificial Intelligence.