Asad Aali

Research Engineer
Stanford Medicine


I am a research engineer in the Integrative Biomedical Imaging Informatics group at Stanford (IBIIS). My work involves the development of artificial intelligence and machine learning algorithms for applications in:

  1. Computer Vision
  2. Medical Imaging
  3. Biomedical Informatics


I am graduating with a Master’s in Electrical and Computer Engineering (ECE) from The University of Texas at Austin, advised by Dr. Jon Tamir.

During my MS in ECE, I completed a research internship at Amazon Health, exploring the application of large language models (LLMs) in clinical text summarization tasks. Previously, I graduated with a Master of Science in Information Technology (MSITM) from The University of Texas at Austin and completed my capstone project at Dell Technologies, as a Machine Learning Engineer.


May 2024 My paper GSURE-Score (Slides) was orally presented at ISMRM, 2024.
Apr 2024 Began working at Stanford Medicine as a Research Engineer, advised by Dr. Akshay Chaudhari.
Feb 2024 Nature Medicine published our LLM paper on clinical text summarization!
Jan 2024 My second lead author paper GSURE Denoising enables training of higher quality generative priors for accelerated Multi-Coil MRI Reconstruction got accepted at ISMRM 2024 (Oral).
Oct 2023 Presented a Poster on “Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data,” at IEEE Asilomar 2023.