Our mission is to create methods to fit the science and not make science fit the methods.

Specifically, we are interested in the following questions that have clinical relevance:

  1. Neurodegeneration – How can we develop software frameworks that can assist dementia screening in various real-world settings?
  2. Digital pathology – How can we build clinical-grade software tools to complement the clinical workflow?

We are also interested in the following frameworks that have computational relevance:

  1. Domain generalization – Development of deep neural networks that can generalize well across multiple data cohorts
  2. Representation learning – Construction of efficient neural models on high resolution data to process local and contextual information

Joining our laboratory

We form small teams comprising individuals with complementary expertise and work persistently to build comprehensive solutions. If you are interested in joining us, then we encourage you to contact an active lab member and talk about your interests.

Funding

We are grateful for funding from the American Heart Association, the National Institute on Aging, the National Heart, Lung, and Blood Institute, the National Cancer Institute, and the National Institute of Diabetes and Digestive and Kidney Diseases. We also thank the Karen Toffler Charitable Trust, Johnson & Johnson Enterprise Innovation Inc., and Visterra Inc., for funding our work.

News

August 2022

New award! Lindsey Claus wins the 2022 American Society of Nephrology Kidney STARS award.

July 2022

Michael Romano completes postdoctoral research and starts radiology residency at University of California, San Francisco.

June 2022

New paper! Multimodal deep learning for dementia, published in Nature Communications.

June 2022

New award! Lindsey Claus recognized by International Association of Medical Science Educators.

June 2022

Shangran Qiu defends his PhD and joins Microsoft Inc. as an Applied Scientist.

May 2022

New paper! Graph-transformer for digital pathology, published in IEEE Transactions on Medical Imaging.

May 2022

New award! Yi Zheng wins 2022 Department of Computer Science Research Excellence Award.

May 2022

New paper! Machine learning for pre-med trainees, published in Artificial Intelligence in Medicine.

May 2022

Ray Jhun graduates with an MD degree and joins the neurology residency program at the University of North Carolina, Chapel Hill.

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