Transforming imaging data into computational pipelines to better and smarter health

What we do!

We develop novel computational methods to study and understand tissue micro-anatomy using spatial-omics data acquired via diverse technologies. Our method has implications in clinical diagnostics and allows for studying the fundamentals of biological systems. Currently, our major focus involves studying diabetic kidney disease in humans.

100 100 percent of our graduated Ph.D. students are placed in prominent pharma companies.

Lab Personnel

Latest works!

We published our work on the computational classification of diabetic nephropathy in the Journal of the American Society of Nephrology (JASN).  All the codes and images used for evaluation are made available to the community. 

We published our work on automated computational detection of interstitial fibrosis, tubular atrophy, and glomerulosclerosis in JASN.  All the codes, images, and trained models used for evaluation are made available to the community.

We published our work for the community on our cloud-based instance for digital pathology WSI visualization, automated segmentation, and error correction for training a semantic segmentation model. The source codedocker image, and a video overview are freely made available for the community.  

Our work integrating deep semantic segmentation and transformer models for disease progression prediction starting from digital image pixels and preserving pixel level spatial relationships between important tissue structures is available online. Great work by Ben Shickel (Assistant Professor, Medicine – Quantitative Health) and Nicholas Lucarelli.

join us!

Postdoctoral Associate position available: Job description.

Undergraduate Research Internship available: Job description.

HuBMAP Summer Internship: HuBMAP Website.


AUG 4, 2023

CMIL’s two NIH HuBMAP Interns, Lin Xu, an undergraduate at Virginia Tech (Blacksburg, VA), and Julio Maragal, an undergraduate at Santa Fe College (Gainesville, FL), took center stage and presented their summer research projects during HuBMAP’s 2023 Summer Internship Virtual Poster Symposium

JULY 19, 2023

We are thrilled to announce that the research conducted by the CMIL has been showcased in the esteemed Nature Collection.

May 30, 2023

Santa Fe student, Julio Maragall, joins the HIVE CIMAP project as a summer intern. We are very excited to have Julio on board!

MAY 30, 2023

Virginia Tech student, Lin Xu, joins the HIVE CIMAP project as a summer intern. Lin is from Washington DC and is currently an undergraduate student in Nanomedicine. We are very excited to have Lin on board!

may 30, 2023

CMIL presents an innovative approach to interdisciplinary training in computational pathology at Translational Science 2023.

MAY 25, 2023

Dr. Ahmed Naglah delivered a virtual talk about the role of generative AI in the field of digital pathology and computational pathology at the Banff Digital Pathology Working Group (DPWG) meeting.