The Canfield Lab designs, tests, and models human-centered approaches for big data, artificial intelligence, automation, and other black box systems. We aim to improve individual and organizational decision making for complex systems such as energy, infrastructure, and healthcare.
Current Canfield Lab Students
Former Canfield Lab Students
Graduate Students
Javier Valentín-Sívico, PhD Engineering Management, Aug 2019 to Jul 2022 - Assistant Teaching Professor, Missouri S&T
Eric Hanson, MS Systems Engineering, Sept 2020 to May 2022 - Systems Engineer, Boeing
Julia Morgan, PhD Systems Engineering, Aug 2020 to May 2021 - Postdoc Research Associate, Weatherization Assistance Program, Oak Ridge National Lab
Ankit Agarwal, MS Engineering Management, Jun 2020 to May 2021 - PhD Student, Missouri S&T
Hari Subramanian, MS Engineering Management, Jan 2020 to Jul 2021 - PhD Student, Missouri S&T
Matthew Heatherly, MS Engineering Management, Mar 2020 - Jul 2021 - Project Engineer, TRC Companies
Visiting Students
Hannah Elder, Visiting Scholar, MS Human Factors, Technische Universität Berlin, Aug 2020 to Mar 2021 - MOST Data Management and Policy Fellow, Missouri Department of Labor and Industrial Relations
Undergraduate Students
Chase Johnson, BS Engineering Management, Jan 2023 - May 2023
Maria Galbraith, BS Engineering Management, Jun 2020 - May 2021
Casey Hines, BS Engineering Management, Sept 2020 to Aug 2021 - MS Student, University of Virginia
Luke Andrews, BS Engineering Management, Jan 2019 to Dec 2020
Mirzad Kablic, BS Engineering Management, Jan 2020 to May 2020
Zac Rawls, BS Economics, May 2019 to May 2020
Madison Oostendorp, BS Engineering Management, Jan 2019 to May 2020 - Project Analyst, Digital Cyber Security, Ameren
Please contact me if you are interested in using social science methods to solve complex technical problems. Send me an email at canfieldci at mst dot edu with your CV and a description of the type of research you are interested in pursuing.