Shizhu Liu ,
Ph.D.

  • Industry Associate Professor

  • Deputy Director of M.S. in Management of Technology

Technology Management and Innovation

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Shizhu Liu
Email
shizhuliu [at] nyu.edu
Office Hours
By Appointment
Office
2 MetroTech Center, Room 1090, Brooklyn NY 11201

Dr. Shizhu Liu's work focuses on the intersection of artificial intelligence, data analytics, higher education, and professional readiness. At NYU Tandon, she teaches Business Analytics and Data Visualization for Business Intelligence, while leading curriculum initiatives that integrate emerging technologies with business education and industry practice. Her research explores AI literacy, workforce transformation, and access and equity in higher education. She is a co-founder of the BRIDGE AI Lab, a cross-institutional research network connecting higher education and industry.

Dr. Liu brings a strong background in quantitative research and applied data science, including predictive modeling and risk analytics in the reinsurance industry. Previously, she was a Clinical Assistant Professor of Mathematics at NYU Courant, where she also directed the M.S. in Mathematics in Finance Summer Bootcamp, developing intensive programs in quantitative skills, programming, communication, and career readiness. Her work reflects a longstanding commitment to preparing students for careers in technology, analytics, and finance.

Research Interests
Applied analytics and AI in education; access and social mobility in higher education; AI literacy and career readiness; data-driven decision-making; information theory, probability, convex geometry, analytic inequalities

Ph.D., Mathematics, New York University

M.A., Applied Economics, Georgetown University

B.A., Economics, Zhejiang University

Editorial Advisory Board Member, BIMTECH Business Perspectives (2026 - Present)

  1. Pham, N. C., Shavkatov, D., Pham, H. H., & Liu, S. (2026). How accessible public universities can enhance social mobility for their students through comprehensive support services. North East Journal of Legal Studies, 46, Article 4. Link
  2. Pham, N. C., Swe, P., Liu, S., & Lentz, M. (In press). Balancing speed and brand safety in generative AI marketing [Case study and teaching notes]. In P. M. Pardalos, M. Fathi, & M. Khakifirooz (Eds.), Handbook of Optimization and Operations Management in Action: A Practitioner’s Casebook for Business and Real-World Dilemmas. Springer.
  3. Liu, S. (2018). Information, analytic and geometric inequalities [Doctoral dissertation, New York University]. Link

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