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Published:
LeWM is a latent world model for robot manipulation trained with a JEPA objective. It encodes visual observations with a ViT, then learns a transformer predictor that forecasts future latent states conditioned on actions — without decoding back to pixels.
2D Medical Image Classification for Kaggle ISIC 2024 Competition
Published in Unpublished, 2022
This paper is about applying the idea of multi-headed self-attention to the volcanic event classification problem.
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Published in The Eleventh International Conference on Learning Representations, 2023
This paper is about fine-tuning strategies for neural machine translation of low-resource languages.
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Published in Nature Methods, 2025
This paper introduces ACE, an end-to-end pipeline using 3D deep learning segmentation and cluster-wise statistical algorithms for unbiased mapping of local neuronal activity and connectivity in teravoxel light-sheet microscopy data.
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Published in Cell, 2026
This paper introduces vCATCH (volumetric clearing-assisted tissue click chemistry), enabling cellular-resolution imaging of covalent drug targets across the whole adult mouse body using 3D click labeling, HYBRiD imaging, and virtual reality visualization.
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Published:
Selected as one of few students to present an academic poster at the Annual Canadian Statistics Student Conference.
Published:
This talk presented research that I contributed to, headed by Professor Annie En-Shiun Lee from the University of Toronto. The team working on this research includes individuals from the University of Toronto, University of Moratuwa, University of New York Tirana, and Microsoft.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.