news

May 14, 2025 I presented my poster, titled 3D fetal head pose estimation from MRI navigators with equivariant neural networks, at the 2025 ISMRM Annual Meeting. Video
Mar 6, 2025 Our new preprint on improved keypoint estimation for rigid motion tracking in neuroimaging, Spatial regularisation for improved accuracy and interpretability in keypoint-based registration, is now available on arXiV.
Jan 10, 2025 Our preprint on graph neural networks for distributed coverage control in robot swarms, LPAC: learnable perception-action-communication loops with applications to coverage control, is now available on arXiV.
Nov 28, 2023 Our work on SO(3)-equivariant radar modeling, Symmetric Models for Radar Response Modeling, was presented at the 2023 NeurIPS workshop on Symmetry and Geometry in Neural Representations.
Sep 6, 2023 I started my PhD at MIT CSAIL in the Medical Vision Group, directed by Dr. Polina Golland.
May 15, 2023 I graduated with a masters degree in data science from Penn.
May 4, 2023 My masters thesis, titled “Graph neural networks for scalable, real-world coverage control in distributed multi-robot systems”, was awarded first place in the data science department.
Feb 13, 2023 I was invited to give a talk on InvRT: Solving Radar Inverse Problems with Transformers, my work as an intern at MIT Lincoln Laboratory, at the 2nd Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE).
Aug 12, 2022 My first first-author paper, Deep learning-based automated segmentation of resection cavities on postsurgical epilepsy MRI, was published in NeuroImage: Clinical :smile:
May 16, 2022 I graduated with a bachelors degree in computer science from Penn.