{{short description|Canadian biostatistician}} {{Use mdy dates|date=October 2025}} {{Use Canadian English|date=October 2025}} '''Shu Jiang''', also known as '''Joy Jiang''', is a Canadian biostatistician and associate professor in the Division of Public Health Sciences at the Washington University School of Medicine in St. Louis.<ref name=":3">{{Cite web |title=Shu (Joy) Jiang, PhD {{!}} Department of Surgery {{!}} Washington University in St. Louis |url=https://surgery.wustl.edu/people/shu-joy-jiang/ |access-date=October 15, 2025 |website=surgery.wustl.edu}}</ref> 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.<ref>{{Cite web |date=September 4, 2025 |title=Public company buys startup using WashU's AI technology to assess breast cancer risk |url=https://www.bizjournals.com/stlouis/inno/stories/news/2025/09/04/prognosia-washu-research-sold-to-lunit.html |access-date=October 17, 2025 |website=St. Louis Business Journal |language=en-US}}</ref> Prognosia's first tool, Prognosia Breast, earned Breakthrough Device Designation from the U.S. Food and Drug Administration (FDA) in June 2025,<ref>{{Cite web |last=Lewis-Thompson |first=Marissanne |date=August 11, 2025 |title=WashU AI breast cancer risk detection software scores major FDA designation |url=https://www.stlpr.org/health-science-environment/2025-08-11/washu-ai-breast-cancer-risk-detection-software-scores-major-fda-designation |access-date=October 15, 2025 |website=STLPR |language=en}}</ref> and the company was acquired by Lunit in September 2025.<ref>{{Cite web |last=Strait |first=Julia Evangelou |date=October 13, 2025 |title=AI breast cancer startup acquired by Lunit |url=https://medicine.washu.edu/news/breast-cancer-startup-founded-by-washu-medicine-researchers-acquired-by-lunit/ |access-date=October 15, 2025 |website=WashU Medicine |language=en}}</ref><ref>{{Cite web |date=2025-12-08 |title=Lunit submits 510(k) to U.S. FDA for breast cancer risk prediction model |url=https://www.auntminnie.com/imaging-informatics/artificial-intelligence/news/15773580/lunit-submits-510k-to-us-fda-for-breast-cancer-risk-prediction-model |access-date=2026-01-08 |website=AuntMinnie |language=en-us}}</ref>
Jiang is known for her methodological contributions to breast cancer risk prediction using high-dimensional mammogram images.<ref>{{Cite web |title=Shu (Joy) Jiang |url=https://scholar.google.com/citations?user=W-CNTTIAAAAJ |access-date=2026-03-07 |website=scholar.google.com (user=W-CNTTIAAAAJ)}}</ref> 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.<ref>{{Cite news |date=April 28, 2023 |title=Researchers Identify Possible New Risk for Breast Cancer (Published 2023) |url=https://www.nytimes.com/2023/04/28/health/breast-cancer-density.html |access-date=October 15, 2025 |language=en}}</ref><ref>{{Cite web |last=Howard |first=Jacqueline |date=May 2, 2023 |title=Breast density changes over time could be linked to breast cancer risk, study finds |url=https://www.cnn.com/2023/05/02/health/breast-density-cancer-study |access-date=October 15, 2025 |website=CNN |language=en}}</ref> 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."<ref>{{Cite news |last=Healthday |date=December 6, 2024 |title=AI Reads Multiple Mammograms To Help Predict Breast Cancer Risk |url=https://www.usnews.com/news/health-news/articles/2024-12-06/ai-reads-multiple-mammograms-to-help-predict-breast-cancer-risk |access-date=October 15, 2025 |work=U.S. News and World Report}}</ref> 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.<ref>{{Cite web |title=Study: AI Tool Uses Multiple Years of Mammograms to Predict Risk |url=https://www.breastcancer.org/news/ai-tool-mammograms-predict-risk |access-date=October 15, 2025 |website=www.breastcancer.org |language=en-US}}</ref>
She is an associate editor for the journal ''Biometrics''<ref>{{Cite web |title=Associate Editors |url=https://biometrics.biometricsociety.org/home/associate-editors |access-date=October 15, 2025 |website=biometrics.biometricsociety.org |language=en-US}}</ref> and a statistical reviewer for ''JAMA Network Open''.<ref>{{Cite web |last=JAMA Network Open |title=JAMA Network Open Masthead |url=https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2839516 |access-date=October 15, 2025 |website=JAMA Network}}</ref> Among other awards and honors, Jiang has been named a ''Forbes'' 30 Under 30 in Healthcare in 2023<ref name=":1">{{Cite web |title=Shu Jiang |url=https://www.forbes.com/profile/shu-jiang/ |access-date=October 15, 2025 |website=Forbes |language=en}}</ref><ref name=":2">{{Cite web |last=Durando |first=Elizabethe Holland |date=December 21, 2022 |title=Shu Jiang named to Forbes 30 Under 30 list for health care |url=https://medicine.washu.edu/news/shu-jiang-named-to-forbes-30-under-30-list-for-health-care/ |access-date=October 15, 2025 |website=WashU Medicine |language=en}}</ref> and received the MERIT award from the National Cancer Institute (2021-2027).<ref name=":0">{{Cite web |last=WashU Medicine Department of Surgery |year=2022 |title=2021 Annual Report. Out Mission in Action |url=https://surgery.wustl.edu/app/uploads/2024/02/DoS-Annual-Report-2021.pdf |access-date=October 15, 2025 |website=wustl.edu}}</ref>
== Education == 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.<ref name=":4" /><ref>{{Cite web |title=Our Alumni: Joy Shu Jiang {{!}} Statistical Consulting and Survey Research Unit {{!}} University of Waterloo |url=https://uwaterloo.ca/statistical-consulting-survey-research-unit/news/our-alumni-joy-shu-jiang |access-date=2025-10-28 |website=uwaterloo.ca |language=en}}</ref> 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.<ref name=":3" />
== Awards and honors ==
{| class="wikitable sortable" |- ! Year !! Award !! Received from !! Ref. |- | 2019 || Institute of Clinical and Translational Science Award || WashU Medicine || <ref>{{Cite web |title=Current and Past Awards {{!}} Clinical & Translational Sciences {{!}} Washington University in St. Louis |url=https://icts.wustl.edu/funding/ctrfp-funding-program/current-and-past-awards/ |access-date=October 15, 2025 |website=icts.wustl.edu}}</ref> |- | 2021 || NIH MERIT Award || National Cancer Institute || <ref name=":0" /> |- | 2022 || 40 Under 40 Public Health Catalyst Award || Boston Congress of Public Health || <ref>{{Cite web |last=Valderrama |first=Oriana |date=June 15, 2022 |title=Joy Shu Jiang: Boston Congress of Public Health 40 Under 40 Winner |url=https://nycdailypost.com/2022/06/15/health/joy-shu-jiang-boston-congress-of-public-health-40-under-40-winner/ |access-date=October 15, 2025 |website=NYC Daily Post |language=en-US}}</ref> |- | 2022 || Young Alumni Achievement Medal || University of Waterloo || <ref name=":4">{{Cite web |title=Recipients of the Faculty of Mathematics Alumni Achievement Medal {{!}} Mathematics {{!}} University of Waterloo |url=https://uwaterloo.ca/math/alumni-and-friends/alumni-awards/recipients-faculty-mathematics-alumni-achievement-medal |access-date=October 15, 2025 |website=uwaterloo.ca |language=en}}</ref> |- | 2023 || GAP Fund Award || WashU Medicine || <ref>{{Cite web |last=Roettger |first=Leslie |date=November 13, 2023 |title=Jiang Receives WashU Gap Fund Award |url=https://otm.wustl.edu/jiang-receives-washu-gap-fund-award/ |access-date=October 15, 2025 |website=Office of Technology Management/Tech Transfer |language=en-US}}</ref> |- | 2023 || Women in STEM (digital tools) || Equalize || <ref>{{Cite web |title=Cohorts |url=https://equalizestartups.org/cohorts/ |access-date=October 17, 2025 |website=Equalize Startups |language=en-US}}</ref> |- | 2023 || Forbes 30 under 30 || Forbes (North America) || <ref name=":1" /><ref name=":2" /> |- | 2023 || NAM Emerging Leaders Forum || National Academy of Medicine || |- |2026 |Chancellor’s Award for Innovation and Entrepreneurship |Washington University in St. Louis |<ref>{{Cite web |last=Roettger |first=Leslie |date=2026-05-14 |title=WashU Celebration of Inventors 2026 |url=https://otm.wustl.edu/washu-celebration-of-inventors-2026/ |access-date=2026-05-14 |website=Office of Technology Management/Tech Transfer |language=en-US}}</ref> |- |2026 |Annie T. Randall Innovator Award |American Statistical Association |<ref>{{Cite web |last=Jim |date=2026-05-13 |title=Jiang Recognized for Statistical Innovation |url=https://siteman.wustl.edu/jiang-recognized-for-statistical-innovation/ |access-date=2026-05-14 |website=Siteman Cancer Center |language=en-US}}</ref> |}
== References == {{Reflist}}
Category:Living people Category:Place of birth missing (living people) Category:Year of birth missing (living people) Category:Simon Fraser University alumni Category:University of Western Ontario alumni Category:University of Waterloo alumni Category:21st-century Canadian women scientists Category:Women biostatisticians Category:Biostatisticians Category:Washington University School of Medicine faculty