Research Agenda

Overview of research for Imagination in Action conference 2019

The Social Complexity of Technological Change

My research agenda is to embrace the complexity of artificial intelligence (AI), the future of work, and the socio-economic consequences of technological change. This goal is inherently multi-disciplinary and collaborative as it builds broadly on advances in the fields of labor economics, sociology, computational social science, network science, data science, political science, and complex systems.

Lecture for the S3D Computational Social Science Seminar at CMU
Fall 2018 Lecture at the Minneapolis Federal Reserve Bank
PhD Dissertation Defense at the MIT Media Lab (2019)
Interview with the Federal Reserve Bank of Boston (2019)
An interview with SAGE on my research methods

Upcoming Presentations:

  • NetSci 2024
  • IC2S2 2024
  • The AI and the Future of Work Conference at the Wharton School

Papers in Submission:

    Published Papers:



    Postdoctoral Associate at MIT's Media Lab

    (June 2019-2020)

    With advising from Prof. Alex 'Sandy' Pentland, I will studied how the future of work is taking shape in US cities using tools from data science, labor economics, and complex systems. Additional affiliations include MIT's IDSS, Media Laboratory, and IDE.

    PhD at MIT's Media Lab

    (2014-June 2019)

    I was as a graduate research assistant in Prof. Iyad Rahwan's Scalable Cooperation group. Scalable Cooperation focused on the impact of artificial intelligence on individuals and society. My main goal is to examine how AI technology changes the nature of work. I achieved this using tools from labor economics, complex systems, data science, and network science.

    Master's degree at the University of Vermont


    I was a graduate research assistant in the Computational Story Lab directed by Prof. Chris Danforth and Prof. Peter Dodds. Research ranged from dynamical systems and toy climate models, to understanding the spread of happiness and human mobility. My research leveraged tools from data science, complex systems, chaos theory, applied mathematics, and network science.

    Bachelor's degree at the University of Vermont


    I completed my bachelor's degree in the Honors College at the University of Vermont (UVM) with advising from Prof. Jeff Dinitz. I majored in Mathematics and double minored in Statistics and Computer Science.

    Not-Research Statement

    When away from my computer, I might be found running with my dog, taking long bike rides, lifting in the campus gym, or swimming laps at the campus pool. It is essential to absorb oxygen and sunlight away from a screen. Look me up on!