Stanford
MS&E
Systems Optimization Laboratory

Meet our personnel | Dr. Ding Ma

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Ding Ma received her Ph.D. degree in Management Science and Engineering from Stanford University in 2019, with a focus of creating numerical algorithms to analyze large-scale optimization models and datasets. She holds a B.S. degree in Electrical Engineering from Beijing University of Chemical and Technology, an M.S. degree in Financial Engineering from New York University, and an M.S. degree in Statistics from Stanford University.

Dr. Ding Ma's research is centered around the analysis of large-scale optimization models and datasets. Her research projects cover diverse topics such as machine learning, deep learning, systems biology, economics, and marketing. Despite the range of topics, her work has a common thread: the development of numerical algorithms and methods to tackle computationally challenging models. Her research is driven by the need to find solutions to the complex problems that arise in science, engineering, and business. She aims to create novel methods that offer practical solutions to real-world problems.

Research Interests

  • Methodological: Machine Learning, Deep Learning, Optimization, Structural Modeling
  • Substantive: Industrial Design, E-commerce, Live Streaming Shopping, Public Policy

Publications

    Journals
  • Heirendt et al. (2019), “Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3. 0,” Nature Protocols, 14,639-702
  • Ma, Ding, Laurence Yang, Ronan M. T. Fleming, Ines Thiele, Bernhard O. Palsson, and Michael A. Saunders (2017), “Reliable and efficient solution of genome-scale models of Metabolism and macromolecular Expression,” Scientific Reports, 7 (40863), 1–11.
  • Yang, Laurence*, Ding Ma*, Ali Ebrahim, Colton J. Lloyd, Michael A. Saunders, and Bernhard O. Palsson (2016), “solveME: fast and reliable solution of nonlinear ME models,” BMC Bioinformatics, 17 (391), 1–10. * Equal contribution: co-first authors
  • Ebrahim et al. (2015), “Do genome-scale models need exact solvers or clearer standards?” Molecular Systems biology 11 (831)
    Book Chapters & Conference Papers
  • Ma, Ding, Dominique Orban, and Michael A. Saunders (2021), “A Julia Implementation of Algorithm NCL for Constrained Optimization,” Numerical Analysis and Optimization, Springer, Vol. 354, pp. 153-182
  • Zhang, Tongda, Jun Qian, Xiao Sun, Ding Ma*, and Ye Yuan (2021), “The evolution and value chain decomposition of live streaming shopping” In 5th International Conference on Crowd Science and Engineering, pages145–149. * Corresponding author
  • Zhang, Tongda, Jun Qian, Xiao Sun, Ding Ma*, and Ye Yuan (2021), “The live streaming shopping: A new industrial ecology in china,” In 5th International Conference on Crowd Science and Engineering, pages 140–144. * Corresponding author
  • Zhang, Tongda, Jun Qian, Xiao Sun, Ding Ma*, and Ye Yuan (2021), “Live streaming shopping in china: an interpretation from the perspective of major market participants,” In 5th International Conference on Crowd Science and Engineering, pages 150–154. * Corresponding author
  • Ma, Ding, Kenneth L. Judd, Dominique Orban, and Michael A. Saunders (2018), “Stabilized Optimization Via an NCL Algorithm,” Numerical Analysis and Optimization, Springer, 173-191.
  • Ma, Ding and Michael A. Saunders (2015), “Solving Multiscale Linear Programs Using the Simplex Method in Quadruple Precision,” in Numerical Analysis and Optimization, Springer, 223–35.

Teaching Portfolio

  • Assistant Professor, City University of Hong Kong
    • MS 8953 -- Foundations of Management Science (PhD)
    • MKT 8630 -- Marketing Modeling (PhD)
    • MKT 5612 -- Applied Marketing Research (Master)
    • MKT 4606A -- Strategic Marketing (Undergraduate)
    • MKT 4606 -- Strategic Marketing (Undergraduate)
    • MKT 3602 -- Marketing Research (Undergraduate)
  • Teaching Assistant, Stanford University
    • MS&E 271 -- Global Entrepreneurial Marketing (Master)
    • STRAMGT 258 -- Strategic Management (Experienced MBA)
    • ENGR 60 -- Engineering Economy (Undergraduate)

Service and Awards

  • Leadership positions
    • President of INFORMS Stanford chapter, 2014-2016;
    • Professional chair of INFORMS Stanford chapter, 2013-2014.
  • Awards
    • Dantzig-Lieberman Operations Research Fellowship, Stanford University, 2017-2018
    • Enlight Foundation Engineering Fellowship, Stanford University, 2012-2013
    • Graduate Center Scholarship, New York University, 2008-2010
    • INFORMS Student Chapter Annual Award (Magna Cum Laude), 2014 & 2015
Photo of Saron Dea