Shu Jiang, also known as Joy Jiang, is a Canadian biostatistician and associate professor of surgery in the Division of Public Health Sciences at the Washington University School of Medicine in St. Louis. [1] She is also the co-founder of Prognosia Inc with Graham Colditz, a technology company that develops AI models that assess digital mammograms to accurately predict the risk of breast cancer. [2] Prognosia's first tool, Prognosia Breast, earned Breakthrough Device Designation from the U.S. Food and Drug Administration in June 2025, [3] and the company was acquired by Lunit in September 2025. [4]
Jiang is known for her contributions to breast cancer risk prediction using high-dimensional mammogram images. In April 2023, The New York Times and CNN interviewed Jiang for a feature about breast density and cancer risk, in which she discussed recent findings on how changes in density over time may indicate elevated breast cancer risk. [5] [6] In December 2024, U.S. News & World Report cited Jiang in an article about artificial intelligence and breast cancer screening. Discussing her team's work on longitudinal mammogram analysis, Jiang said: "Our new method is able to detect subtle changes over time in repeated mammogram images that are not visible to the eye." [7] More recently, media coverage has also included BreastCancer.org, which described a newer AI-based approach in which Jiang used multiple years of mammograms to enhance risk prediction. [8]
She is an associate editor for the journal Biometrics [9] and a statistical reviewer for JAMA Network Open . [10] Among other awards and honors, Jiang has been named a Forbes 30 Under 30 in Healthcare in 2023 [11] [12] and received the MERIT award from the National Cancer Institute (2021-2027). [13]
Jiang received a B.Sc. in statistics from Simon Fraser University (2012-2015), an M.Sc. in statistics from Western University (2015-2016), and a Ph.D. in statistics from University of Waterloo (2016-2018), where her supervisor was Richard Cook. From 2018-2019, she trained as a postdoctoral fellow in biostatistics at the Harvard T.H. Chan School of Public Health, where her supervisor was Rebecca Betensky.
| Year | Award | Received from | Ref. |
|---|---|---|---|
| 2019 | Institute of Clinical and Translational Science Award | WashU Medicine | [14] |
| 2021 | NIH MERIT Award | National Cancer Institute | [13] |
| 2022 | 40 Under 40 Public Health Catalyst Award | Boston Congress of Public Health | [15] |
| 2022 | Young Alumni Achievement Medal | University of Waterloo | [16] |
| 2023 | GAP Fund Award | WashU Medicine | [17] |
| 2023 | Women in STEM (digital tools) | Equalize | [18] |
| 2023 | Forbes 30 under 30 | Forbes (North America) | [11] [12] |
| 2023 | NAM Emerging Leaders Forum | National Academy of Medicine |