Starting Fall 2022, I’m a postdoc at MIT CSAIL where I’m working in Polina Golland’s group working on ML for biomedical challenges.
I obtained my Ph.D. from New York University and was advised by Guido Gerig, where I was part of the wonderful and multi-disciplinary Visualization, Imaging, and Data Analysis (VIDA) Center.
My research primarily focuses on methods development for medical computer vision and healthcare applications - a field that fortunately offers both fun technicality and real-world relevance. Particular topics of interest include equivariant networks, image synthesis, geometric deep learning, representation learning, and deformable registration.
|09/22||I started my postdoc at MIT CSAIL working with Polina Golland|
|09/22||Our work on developing multi-scale and locality-sensitive self-supervised representation learning stategies was accepted by NeurIPS 2022!|
|08/22||Our work building transformers for MRI reconstruction was accepted by WACV 2023.|
|07/22||Our work on unsupervised MRI reconstruction was accepted by Medical Image Analysis.|
|07/22||I defended my PhD!|
|06/22||I received a student travel award for MICCAI 2022.|
|06/22||Our work on representation learning for multi-modality deformation was accepted to MICCAI 2022. Preprint here.|
|05/22||I was an outstanding reviewer for CVPR 2022.|
|04/22||Received the Pearl Brownstein Doctoral Research Award from NYU CSE for “doctoral research which shows the greatest promise”.|
|02/22||We had four abstracts on self-supervised image registration, reconstruction, and denoising from my internship work with Hyperfine accepted to ISMRM 2022.|
|07/21||Our paper on learning deformable templates was accepted by ICCV 2021! Head over to our webpage for the preprint, code, and highlights.|
|06/21||Our paper (jointly led by Mengwei Ren and Heejong Kim) was accepted by MICCAI 2021: code/preprint/demos, all here.|
|05/21||I’m back at Hyperfine Research for a summer internship, working on deep learning research applied to low-field (64 mT) MRI.|
|05/21||I gave a (virtual) talk at the VoxelTalk seminar series at MIT/Harvard Medical School.|
|04/21||Our paper (led by Shijie Li) won 3rd place for the best paper award at IEEE ISBI 2021.|
|02/21||Our work (jointly led with Axel Elaldi) on learning Rotation-Equivariant Sparse Spherical Deconvolution was accepted by Information Processing in Medical Imaging (IPMI).|
|02/21||Our work (jointly led with Mengwei Ren) on improving image translation performance and robustness was accepted by IEEE Transactions on Medical Imaging.|
|01/21||My work on Group-Equivariant GANs was accepted by the International Conference on Learning Representations (ICLR) 2021!|
|01/21||Our work led by Shijie Li on point annotation-supervised 2D/3D microscopy segmentation was accepted by IEEE ISBI 2021.|
|10/20||I was an outstanding reviewer for MICCAI 2020.|