Asad Aali
Research Data Analyst
Stanford University
![prof_pic.jpg](/assets/img/prof_pic.jpg?70d4b14ab98282681fa91ea0d123ce89)
I am a research data analyst 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:
- Computer Vision
- Medical Imaging
- Biomedical Informatics
bio
Prior to joining Stanford, I graduated 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.
news
May 2024 | My paper GSURE-Score (Slides) was orally presented at ISMRM, 2024. |
Apr 2024 | Began working at Stanford University as a Research Data Analyst, 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. |