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.

An interview with SAGE on my research methods
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)

Upcoming Speaking Engagements:

  • Invited speaker for Imagination in Action at World Economic Forum Annual Meeting in Davos 2020.
  • Invited seminar lecture at NYU Abu Dhabi (2020).
  • Invited lecture for Ernst & Young's Advanced Technology lab and General Electric (2019).
  • Oral presentation accepted for NetsciX 2020.
  • Invited speaker for Disrupt HR Boston 2019.

Papers in Submission:

    Published Papers:


    Postdoctoral Associate at MIT's Media Lab

    (June 2019-present)

    With advising from Prof. Alex 'Sandy' Pentland, I will study 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 acted as a graduate research assistant in Prof. Iyad Rahwan's Scalable Cooperation group. Scalable Cooperation is interested in the impact of artificial intelligence on individuals and society. My main goal is to examine how AI technology changes the nature of work. I achieve this using tools from labor economics, complex systems, data science, and network science.

    Master's degree at the University of Vermont


    Under advisors Prof. Chris Danforth and Prof. Peter Dodds, I acted as a graduate research assistant on the Computational Story Lab research team. 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

    While my academics are very important to me, my main goal is to live a happy, balanced, and fulfilling life. 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 at least once per day! Moving around is a good method for revitalizing the mind, and I find that activity can increase my productivity and happiness. Look me up on!