Application of machine learning and artificial intelligence in healthcare, particularly in the field of pulmonary and critical care medicine. Deep learning applied to radiologic imaging studies. Physician and artificial intelligence interactions and collaborations. Identifying and addressing algorithmic bias.
My research focuses on developing reliable and efficient machine learning methods for causal inference as well as predictive models that leverage causal reasoning. My work typically involves applications to healthcare.
Ruiwei works on discrete optimization under uncertainty. Many practical engineering problems search for good discrete decisions under uncertain or even incomplete inputs. Ruiwei’s research aims to develop data-enabled stochastic optimization (DESO) models and solution methodology that bring together data analytics, integer programming, stochastic programming, and robust optimization. Together with his collaborators, Ruiwei applies DESO approaches to various engineering problems, including power and water system operations, transportation systems, and healthcare resource scheduling.
The recognitions of Ruiwei’s work include a NSF CAREER award, two INFORMS Junior Faculty Interest Group paper awards, and an Outstanding Teaching award from the IISE Operations Research Division.
Siqian Shen is an Associate Professor of Industrial and Operations Engineering at the University of Michigan and also serves as an Associate Director in the Michigan Institute for Computational Discovery & Engineering (MICDE). Her theoretical research interests are in integer programming, stochastic/robust optimization, and network optimization. Applications include optimization and risk analysis of energy, healthcare, cloud-computing, and transportation systems. Her work has been supported by the National Science Foundation, Army Research Office, Department of Energy, and industrial funds. Her work has appeared in journals such as Management Science, Operations Research, Mathematical Programming, Manufacturing and Service Operations Management, INFORMS Journal on Computing, Transportation Research Part B, IEEE Transactions on Power Systems, and others. She is the recipient of the INFORMS Computing Society Best Student Paper award (runner-up), IIE Pritsker Doctoral Dissertation Award (1st Place), IBM Smarter Planet Innovation Faculty Award, and Department of Energy (DoE) Early Career Award.