Alex Lu
@alexijie.bsky.social
Senior Researcher at Microsoft Research New England. ML/AI for biological discovery: microscopy, proteins, single-cell.
Was incredible to work with Arushi during her summer internship - check out her preprint showing that single cell representation learning methods for microscopy can be confounded by cells in the background of their inputs!
This work began from a summer internship at @msftresearch.bsky.social New England. Incredibly thankful to mentors @alexijie.bsky.social and Alan Moses, whose deep involvement and guidance made this possible!
📄: www.biorxiv.org/content/10.1...
💻: tinyurl.com/microscopy-c...
📄: www.biorxiv.org/content/10.1...
💻: tinyurl.com/microscopy-c...
Representation Learning Methods for Single-Cell Microscopy are Confounded by Background Cells
Deep learning models are widely used to extract feature representations from microscopy images. While these models are used for single-cell analyses, such as studying single-cell heterogeneity, they t...
www.biorxiv.org
July 5, 2025 at 8:52 PM
Was incredible to work with Arushi during her summer internship - check out her preprint showing that single cell representation learning methods for microscopy can be confounded by cells in the background of their inputs!
Read our preprint that demonstrates a growing bias in medical imaging datasets against pediatrics, and how it impacts downstream AI development!
Props to our first author @stanhua.bsky.social, who among many other feats, filtered hundreds of datasets/papers to establish this trend.
Props to our first author @stanhua.bsky.social, who among many other feats, filtered hundreds of datasets/papers to establish this trend.
The release of public datasets is driving innovations in healthcare AI, but are children seeing the benefit?
Our systematic dataset review reveals that children account for less than 1% of patients across 181 public medical imaging datasets.
#HealthEquity #SafePediatricAI
Our systematic dataset review reveals that children account for less than 1% of patients across 181 public medical imaging datasets.
#HealthEquity #SafePediatricAI
June 27, 2025 at 7:17 PM
Read our preprint that demonstrates a growing bias in medical imaging datasets against pediatrics, and how it impacts downstream AI development!
Props to our first author @stanhua.bsky.social, who among many other feats, filtered hundreds of datasets/papers to establish this trend.
Props to our first author @stanhua.bsky.social, who among many other feats, filtered hundreds of datasets/papers to establish this trend.
At NeurIPS and interested in talking about BioML? Catch me at the Microsoft booth in the expo hall between 2:00-2:30p and 3:30-4:30p today!
December 11, 2024 at 5:34 PM
At NeurIPS and interested in talking about BioML? Catch me at the Microsoft booth in the expo hall between 2:00-2:30p and 3:30-4:30p today!