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Principal Applied Science Manager in GEN AI at Microsoft AI， ML /CV Expert , PhD | Ex-Zoom, Ex-SAS, Umich, Duke l 30 issued US patents l Life long learner | First author at T-PAMI, T-NNLS, T-MM, ACM-TIST, ICML, KDD, AAAI
-Dr Xu Chen is currently holding the position of Principal Applied Science Manager in Gen AI at Microsoft. Prior to that, he has served as a technical leader at Zoom Video Communications in the area of machine learning, computer vision and image/video processing. Published more than 40 peer reviewed IEEE and ACM top journals and international conferences as the first author including T-PAMI, T-MM, T-NNLS, ACM-TIST, CVPR, ICML, KDD, AAAI, ICDM. Meanwhile, he holds more than 30 US patents with a proven track record of delivering long lasting business impact. -Extensive experience in software development in C/C++(OpenCV, Libtorch), Python , tensor flow/pytorch, source control and Agile development. He received PhD degree at University of Illinois at Electrical and Computer Engineering and Bachelor degree at Shanghai Jiaotong Unversity at Electrical Engineering. Excellent technical and people leadership experience. Familiar and build with AI/MK micro-services using containers, Kubernetes based on cloud platform such as Azure and AWS. The business application domains of his work include image classification and recognition, financial data on fraud detection, health care ECG signal classification, real time video segmentation, people detection and re-identification. His current h-index from google scholar is 15: https://scholar.google.com/citations?user=-lm4aPcAAAAJ&hl=en. -12 years of experience in extensive research and development in various areas including video object segmentation (vos), moving object detection, real-time gesture recognition, virtual background segmentation and video people re-identification. Strong Software Skills and Algorithm Design Skills: 1. Artificial Intelligence: AI/Deep Learning Accelerator, DL Kernels and Library. 2. Generative AI. 3. Multi-modal learning, few-shot learning. 4. Programmings: C/C++, Cuda, Python (Tensorflow and Pyto
University of Michigan
Postgraduate Degree, Electrical and Electronics Engineering
July 1, 2010 – December 1, 2011
University of Illinois Chicago
Doctor of Philosophy (PhD), Department of Electrical and Computer Engineering
January 1, 2006 – January 1, 2010
Shanghai Jiao Tong University
Bachelor's degree, Electrical and Electronics Engineering
January 1, 2002 – January 1, 2006
Microsoft AI
Principal Applied Science Manager in Computer Vision and Machine Learning (Gen AI focused)
March 1, 2025 – Present
Redmond, Washington, United States · On-site
Zoom
Technical Leader, Machine Learning and Computer Vision
December 1, 2021 – January 1, 2025
Cary, North Carolina, United States
SAS
Senior Machine Learning and AI expert, Tech Lead
October 1, 2015 – January 1, 2021
Cary, North Carolina, United States
Sharp Labs of America
Senior Researcher
April 1, 2012 – October 1, 2015
Camas, WA
Duke University
Postdoctoral Researcher at Department of Electrical and Computer Engineering
December 1, 2011 – March 1, 2012
Durham, NC
Eastman Kodak
Research Intern at Kodak Research Lab
May 1, 2009 – August 1, 2009
Rochester, New York Metropolitan Area
EPFL (École polytechnique fédérale de Lausanne)
Research Intern at Signal Processing Lab (LTS4)
May 1, 2008 – August 1, 2008
Lausanne, Vaud, Switzerland
US Citizen
USCIS
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across leading tech companies (Microsoft, Zoom, SAS, Sharp Labs) and academic institutions (Duke, University of Michigan, UIC, Shanghai Jiao Tong University) suggests adaptability and a broad perspective. Their involvement in cutting-edge research and product development in various domains (computer vision, generative AI, semi-supervised learning, video enhancement) indicates a strong drive for innovation and continuous learning, which aligns well with a dynamic, research-driven culture. The leadership roles also suggest a collaborative and mentorship-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, project management, and communication skills through their roles at Microsoft AI, Zoom, and SAS. Their experience in cross-functional collaboration and developing responsible AI solutions suggests a good operational fit for complex, team-oriented environments. The emphasis on 'human-in-the-loop quality systems' and 'Agile Software Development' indicates an understanding of practical deployment and iterative development.