Ye Xu, PhD
Cards
Additional Titles
Business Analyst Lead, Education Technology & Innovation, Health Sciences IT
Education
University of Iowa, Computer Science (2007)
University of Iowa, Computer Science (2001)
Contact Info
Additional Titles
Business Analyst Lead, Education Technology & Innovation, Health Sciences IT
Education
University of Iowa, Computer Science (2007)
University of Iowa, Computer Science (2001)
Contact Info
Additional Titles
Business Analyst Lead, Education Technology & Innovation, Health Sciences IT
Education
University of Iowa, Computer Science (2007)
University of Iowa, Computer Science (2001)
Contact Info
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
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
Research at a Glance
Publications Timeline
Publications
2020
Traffic-derived air pollution compromises skin barrier function and stratum corneum redox status: A population study.
Huang N, Mi T, Xu S, Dadd T, Ye X, Chen G, Du Y, Santhanam U. Traffic-derived air pollution compromises skin barrier function and stratum corneum redox status: A population study. J Cosmet Dermatol 2020, 19: 1751-1759. PMID: 31682080, DOI: 10.1111/jocd.13194.Peer-Reviewed Original Research
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, 2010Peer-Reviewed Original Research
2006
Computer-aided classification of interstitial lung diseases via MDCT: 3D adaptive multiple feature method (3D AMFM).
Xu Y, van Beek EJ, Hwanjo Y, Guo J, McLennan G, Hoffman EA. Computer-aided classification of interstitial lung diseases via MDCT: 3D adaptive multiple feature method (3D AMFM). Acad Radiol 2006, 13: 969-78. PMID: 16843849, DOI: 10.1016/j.acra.2006.04.017.Peer-Reviewed Original ResearchMDCT-based 3-D texture classification of emphysema and early smoking related lung pathologies.
Xu Y, Sonka M, McLennan G, Guo J, Hoffman EA. MDCT-based 3-D texture classification of emphysema and early smoking related lung pathologies. IEEE Trans Med Imaging 2006, 25: 464-75. PMID: 16608061, DOI: 10.1109/TMI.2006.870889.Peer-Reviewed Original Research
Academic Achievements & Community Involvement
Activities
activity How Do Data Scientists Build Successful AI Models and Transform Industry?
12/06/2024 - PresentOral PresentationDSI iCubed Seminar at Columbia UniversityDetailsNew York, NY, United Statesactivity Shelf Assortment Optimization
02/16/2024 - PresentOral PresentationMIT Analytics Capstone Project PitchDetailsCambridge, MA, United States
Honors
honor Digital Transformation Recognition Award, 2nd Place
02/01/2023Other AwardUnileverDetailsUnited Stateshonor Individual research Award, Research and Development (R&D)
11/01/2014Other AwardUnileverDetailsUnited Stateshonor Team Recognition Award for Excellence in Breast Cancer Diagnostics
12/15/2013Other AwardPhilips ResearchDetailsUnited Stateshonor Gerard P. Weeg Scholarship
05/01/2007Other AwardThe University of Iowa, Department of Computer ScienceDetailsUnited Stateshonor Outstanding Poster Presentation Award, Information and Health
05/01/2005Hospital System AwardThe University of IowaDetailsUnited States
Teaching & Mentoring
Mentoring
Graduate students in Sloan School of Management Business Analytics at MIT
Graduate students in MIT2024 - 2024Graduate students in Data Science Institute at Columbia University
Graduate students in Data Science Institute at Columbia University2019 - 2024
Willing and Available to Mentor
- Postdoctoral Researchers
- Clinical Fellows
- Clinicians
- Residents
- Students
News
News
Get In Touch
Contacts
Locations
E.S. Harkness Memorial Hall, Building D
Academic Office
367 Cedar Street
New Haven, CT 06510