Our paper, “The Challenge of Rendering Abnormalities Accurately Using Deep Learning-Based Reconstruction in Accelerated Brain MRI,” was published online in Investigative Radiology.
Updates
Recent News
Research and career updates, including presentations, publications, and professional milestones.
“An Introduction to Pathology Foundation Models” was published in Head and Neck Pathology.
Our NeuroFM preprint on a domain-specific foundation model for neuropathology was released.
Presented our paper, “Predicting Patient Self-reported Race From Skin Histological Images with Deep Learning,” as a poster at FAIMI 2025, held with MICCAI 2025 in Daejeon, South Korea.
MR-Transformer was published online in Radiology: Artificial Intelligence.
Our clinical benchmark of public self-supervised pathology foundation models was published in Nature Communications.
Our multimodal study of time to total knee replacement using radiographs and MRI was published in Radiology Advances.
Gave an oral presentation of my first-author paper, “Benchmarking Embedding Aggregation Methods in Computational Pathology,” at COMPAYL 2024, held with MICCAI 2024 in Marrakesh, Morocco.
Joined the Mount Sinai Computational Pathology Lab and began research with Prof. Thomas J. Fuchs.
Began my PhD in Biological and Biomedical Sciences, with a concentration in Artificial Intelligence and Emerging Technology (AIET), at the Icahn School of Medicine at Mount Sinai.
Joined NYU Langone Health as an Assistant Research Scientist in the Department of Radiology, working with Prof. Cem M. Deniz.
Graduated from New York University with an M.S. in Biomedical Informatics.