Shuai Huang

Machine Learning, Healthcare, and Engineering

PhD students (current)

  • Feng Lin
    • Qualify Exam passed in 02/2022
  • Wengeng Pan (co-advised with Dr. Chaoyue Zhao)
    • Qualify Exam passed in 02/2021
    • Dissertation topic: “From Infectious Disease Monitoring to Power System Planning: Integrate Learning and Operations on Networked Systems”
  • Ekin Ugurel (co-advised with Dr. Cynthia Chen)
    • Qualify Exam passed in 06/2022
  • Congjing Zhang

PhD students (graduated)

  • Jingshuo Feng (graduated in 2021)
    • Dissertation topic: “Modeling Heterogeneous User Behavior in Interactive Systems by Graphical Model and Collaborative Learning”
    • Research Intern in AI Platform at Kuaishou Technology
    • First position: Data Scientist at Citi
  • Mona Haghighi (graduated in 2016, USF)
    • Dissertation topic: “Rule-based Risk Monitoring Systems for Complex Datasets”
    • Recipient of the Dissertation Completion Award in 2015
    • First position: Optimization Statistician at Citi
    • Current position: Data Scientist at Amazon
  • Yan Jin (graduated in 2017)
    • Dissertation topic: “Diagnostic Monitoring of High-dimensional Networked Systems”
    • Finalist of INFORMS QSR 2015 best student paper competition
    • Decision Science Professional Intern at Walt Disney Parks and Resorts U.S., Inc
    • First position: Research Scientist at JD.com Research Lab, California, USA
    • Current position: Machine Learning Engineer at Aibee Inc
  • Ying Lin (graduated in 2017, co-advised with Dr. Shan Liu)
    • Dissertation topic: “Large-Scale Personalized Health Surveillance by Collaborative Modeling and Selective Sensing”
    • The Lee B. Lusted Student Prize from the Society for Medical Decision Making (SMDM) in 2016
    • Research Intern at NEC Laboratories America, Inc.
    • First position: Assistant Professor, Department of Industrial Engineering, University of Houston
  • Yazhuo Liu (graduated in 2015, co-advised with Dr. Jose Zayas-Castro at USF)
    • Dissertation topic: “Patient Population, Clinical Association, and Systems Efficiency in Healthcare Delivery System”
  • Aven Samareh (graduated in 2019)
    • Dissertation topic: “Contemporary Health Monitoring and Biomarker Discovery by Integration of Patient Data and Disease Knowledge”
    • Data Scientist Intern at Instacart
    • Outstanding Female Engineer Award, Society of Women Engineers (SWE)’s at University of Washington
    • Graduate School’s Fellowship for Excellence and Innovation Top Scholar Award at UW
    • First position: Research Scientist at Convoy
    • Current position: Senior Data & Applied Scientist/Tech Lead at Capacity, Supply Chain & Provisioning Microsoft Azure
  • Ameer Hamza Shakur (graduated in 2023)
    • Dissertation topic: “Learning Rule-based AI Models for Interpretable and Transparent Decision Makings”
    • First position: Research Scientist at ThinkSense
  • Cao Xiao (graduated in 2016, co-advised with Dr. W. Art Chaovalitwongse)
    • Dissertation topic: “Optimization and Machine Learning Methods for Medical and Healthcare Applications”
    • Research Intern at IBM T.J. Watson Research Center
    • Data Scientist Intern at LinkedIn
    • Finalist of IIE-CIS Mobile App Competition in 2016 (Team lead of UW-CHI app)
    • Graduate School’s Fellowship for Excellence and Innovation Top Scholar Award at UW
    • First position: Research Scientist at IBM T.J. Watson Research Center
    • Current position: VP of AI/ML research at Relativity
  • Xi Zhu (graduated in 2020, co-advised with Dr. Cynthia Chen)
    • Dissertation topic: “Individual Preference Learning with Collaborative Learning Framework”

Master students

  • Yi He
  • Ameer Hamza Shakur
  • Congjing Zhang

Undergraduate students

  • Borui Li (Developer of UW-CHI app)
  • Eric Kammers (Participant of NSF REU)
  • Tianyi Wang
  • Fan Xu