Dr. Tanushree (Tanu) Luke

Professorial Lecturer

Part-time Faculty


Dr. Luke currently serves as the Chief Strategy and Innovation Officer at the Securities and Exchange Commission (SEC), where she oversees and directs Commission-wide strategic programs and their technology development. As the SEC’s Responsible AI Official (RAIO), Dr. Luke established the Commission-wide artificial intelligence/machine learning (AI/ML) program, including AI strategy, governance, and technology initiatives to address key strategic priorities for the Commission. In addition, Dr. Luke also provides guidance and technology oversight over Commission-wide data and emerging technology programs.

Prior to joining the SEC, Dr. Luke spent several years as a senior executive in the banking and finance industry. As the Senior Vice President and Head of AI at U.S. Bank, in addition to leading AI-driven technology development, Dr. Luke created a strategic framework for governance and oversight of AI technologies and policies to guide the fair, ethical, and responsible use of AI. At Capital One, Dr. Luke spearheaded the creation of patented first-in-banking applications of AI/ML to anticipate customer intent and to address customer needs in real-time and also led the development of an AI/ML application platform with proactive compliance, bias, and ethical checks built-in. In previous roles, Dr. Luke provided technical oversight of data science and AI/ML- driven cybersecurity capabilities, including insider threat detection, at the Defense Advanced Research Projects Agency (DARPA) and in the commercial sector. Dr. Luke has conducted original cutting-edge research in computational neuroscience, condensed matter physics, and multi-modal imaging in academia and has more recently taught courses on AI and International Security.

Dr. Luke received her Ph.D. in theoretical and computational physics from George Mason University. She is a recognized thought leader in AI/ML and emerging digital technologies, having presented at over 40 keynotes, lecture series, and presentations. Dr. Luke is a member of the government-wide White House/Office of Science and Technology Policy (OSTP) AI Strategy, AI Equity, and AI Bill of Rights Interagency Policy Committees (IPCs). Dr. Luke has also been invited to testify as an expert on applications of AI/ML technology in the banking industry to both the U.S. Congressional Technology Accountability Caucus and the U.S. House Finance Committee.

Artificial Intelligence (AI), Machine Learning (ML), Data Science, Emerging Digital Technology, Non-Linear Dynamics, Condensed Matter Theory, Cybersecurity, Banking and Finance Laws/Rules/Regulations, Compliance and Risk, International Securities Laws/Policies

Selected Recent Media Engagements:

  • Invited Speaker, FinTech – RegTech, Big Data, AI, and ML, International Organization of Securities Commissions (IOSCO)/Harvard Law School Program on International Financial Systems (PIFS), 2023
  • Interview, AI and Innovation, Federal News Network (FNN), 2022
  • Panelist (special invite), The Year Ahead: Next Generation Banking, Bloomberg Media, 2020
  • Interview, Challenges in AI/ML Technology Implementation, Wall Street Journal, 2020
  • Podcast and Interview, Ethics in AI/ML, American Banker, 2020

Selected Publications and Patents:

  • U.S. Patent #10798030, “Pre-Chat Intent Prediction for Dialogue Generation,” issued October 6, 2020.
  • Guss, P. et. al. “Small unmanned aircraft system for remote contour mapping of a nuclear radiation field,” Proceedings Volume 10393, Radiation Detectors in Medicine, Industry, and National Security XVIII; 2017.
  • Joshi, T. et. al. “Measurement of the Energy-Dependent Angular Response of the ARES Detector System and Application to Aerial Imaging,” IEEE, 64:7, 2015.
  • Luke, T. “Principal Component Analysis (PCA) and Noise Adjusted Single Value Decomposition (NASVD) Application on Aerial Data,” presentation at IEMC International AMS Technical Exchange, 2015.
  • Luke, T., Barreto, E., and So, P. ""Macroscopic complexity from an autonomous network of networks of theta neurons,"" Frontiers of Computational Neuroscience, 8:145, 2014.
  • Luke, T. Collective Dynamics for Heterogeneous Networks of Theta Neurons, Doctoral Dissertation, George Mason University, 2013.
  • Luke T., Barreto E., and So P. “Complete classification of the macroscopic behavior of a heterogeneous network of theta neurons,” Neural Computation, 25(12), 3207-34, 2012.
  • So P., Luke T., and Barreto E. “Networks of theta neurons with time-varying excitability: Macroscopic chaos, multistability, and final-state uncertainty,” Physica D, Vol. 267, 16-26, 2012.
  • Luke T., Barreto E., and So P. “A dynamical study of pulse-coupled oscillators in the brain,” BMC Neuroscience 2012, 13(Supp 1):O12 - 2012.