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INFORMATION FOR

    Ye Xu, PhD

    she/her/hers
    IT, Business Systems Analyst 4
    DownloadHi-Res Photo

    Additional Titles

    Business Analyst Lead, Education Technology & Innovation, Health Sciences IT

    Education

    PhD
    University of Iowa, Computer Science (2007)


    MS
    University of Iowa, Computer Science (2001)


    About

    Titles

    IT, Business Systems Analyst 4

    Business Analyst Lead, Education Technology & Innovation, Health Sciences IT

    Biography

    Ye Xu, Ph.D. in Computer Science, Drive Innovation & Impact Through Advanced Business Analytics and Data Science Leadership

    Accomplished Sr. Data Science Manager and Business Analyst Lead dedicated to transforming business and research by leveraging data, analytics and digital technology across multidisciplinary groups. Enable innovative digital technology and generate new insights via automation. Career success spans developing and deploying data science and analytics, AI solutions, Computer-aided diagnostics for disease detection using CT/MRI images, optimizing processes, and uncovering actionable insights from complex datasets. Thrive in inclusive, high-energy environments, leveraging strong communication, problem-solving, and a proactive, detail-oriented approach. Areas of interests and expertise include:

    Data Science | Data Analytics | Artificial Intelligence (AI) | Machine Learning (ML) | Digital Innovation | Image Analysis | NLP | Project Management | People Leadership | Consumer Science

    Last Updated on April 04, 2025.

    Education & Training

    PhD
    University of Iowa, Computer Science (2007)
    MS
    University of Iowa, Computer Science (2001)

    Advanced Training & Certifications

    Executive of Data Science
    John Hopkins (2024)
    Artificial Intelligence: Implications for Business Strategy
    Massachusetts Institute of Technology (MIT) (2024)

    Research

    Overview

    1. Explore and apply digital technology to support and enhance curriculum development and student learning outcomes

    2. Partner with faculty and subject matter experts to ideate, develop, and refine innovative prototype ideas for integrating emerging technologies into medical education.

    3. Lead and strengthen research capabilities on digital innovation projects by leveraging Business Analytics, AI, Text Mining, and related technologies.

    Public Health Interests

    Aging; Bioinformatics; e-Health; Infectious Diseases; Metabolism

    Research at a Glance

    Publications Timeline

    A big-picture view of Ye Xu's research output by year.
    5Publications

    Publications

    2020

    2013

    • Case-based clinical decision support for breast MRI, Multimodality Breast Imaging: Diagnosis and Treatment, Book chapter
      Y. Xu, A. Hiroyuki, Case-based clinical decision support for breast MRI, Multimodality Breast Imaging: Diagnosis and Treatment, Book chapter, SPIE Press, Bellingham, WA, pp. 65-83 (2013)
      Chapters

    2010

    • Computer aided diagnosis of radiographic patterns of lung disease via MDCT images
      Y. Xu, E. J.R. Van Beek, E. A. Hoffman, Computer aided diagnosis of radiographic patterns of lung disease via MDCT images, International Journal of Computational Science and Engineering, 5:3, 254-261, 2010
      Peer-Reviewed Original Research

    2006

    Academic Achievements & Community Involvement

    Activities

    • activity

      How Do Data Scientists Build Successful AI Models and Transform Industry?

    • activity

      Shelf Assortment Optimization

    Honors

    • honor

      Digital Transformation Recognition Award, 2nd Place

    • honor

      Individual research Award, Research and Development (R&D)

    • honor

      Team Recognition Award for Excellence in Breast Cancer Diagnostics

    • honor

      Gerard P. Weeg Scholarship

    • honor

      Outstanding Poster Presentation Award, Information and Health

    Teaching & Mentoring

    Mentoring

    • Graduate students in Sloan School of Management Business Analytics at MIT

      Graduate students in MIT
      2024 - 2024
    • Graduate students in Data Science Institute at Columbia University

      Graduate students in Data Science Institute at Columbia University
      2019 - 2024

    Get In Touch

    Contacts

    Locations

    • E.S. Harkness Memorial Hall, Building D

      Academic Office

      367 Cedar Street, Rm 309

      New Haven, CT 06510