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May 2024 Successfully defended my PhD thesis entitled Data-Efficient Machine Learning for Image Reconstruction and Text Summarization in Biomedicine.
Mar 2024 Presented our LLM adaptation work at the Apple ML Health Workshop.
Feb 2024 Nature Medicine published our LLM paper on clinical text summarization!
Jan 2024 Our lab is proud to release CheXagent, a vision-language model for interpreting chest x-rays.
Jan 2024 Beginning Stanford Ignite at the Graduate School of Business and joining the 2024 cohort of Cardinal Venture’s Technical Founders!
Jun 2023 Headed across the pond to be a visiting scholar with Reinhard Heckel at TU - Munich! Many thanks to The Europe Center for my fellowship to make this possible.
May 2023 Our paper RadAdapt: Radiology Report Summarization with Large Language Models accepted at ACL BioNLP and selected for oral presentation.
Jan 2023 Published two new blog posts on balanced productivity and reflections from a Peruvian trek.
Jul 2022 Presented our work on scale-agnostic super-resoluion in MRI at MIDL in Zurich.
Jun 2022 Passed my qualifying exam in Stanford’s EE Dept. On to candidacy!
Mar 2022 Our work on multiscale scene representation, BACON: Band-Limited Coordinate Networks, accepted at CVPR and selected for oral presentation.
Sep 2021 Started the PhD program in Stanford University’s EE Dept. Go Trees!
Jun 2021 Began a solo bikepacking trip across Mexico following this route.
May 1022 Created an ongoing list of my all-time favorite books distilled by genre.