About
I am an Assistant Professor in System Dynamics at MIT Sloan School of Management and an affiliated faculty at the MIT Institute for Data, Systems, and Society. My work uses quantitative behavioral models, assisted by the analysis of data, to study collective human behavior on a broad range of organization levels, from teams to cities. Recent research applications include collective decision-making, political polarization, scaling laws in cities, and bureaucracy in organizations. I received my PhD in Applied Mathematics from Northwestern University and was a fellow at the Santa Fe Institute.
Please see my Google Scholar for an up-to-date list of publications, and Twitter for news and announcements.
If you are looking for my interactive visualization of US Congress ideology, it’s here.
Media Coverage of Research
- Jan 2022: Nautilus reports on my social learner and collective decision paper.
- Sept 2021: PNAS News Feature quotes my interview on modeling political party polarization.
- May 2021: SIAM News reports on my work on how social learners affect collective decisions.
- April 2021: Big Think gives a concise and eloquent report on my “Falling through the cracks” paper.
- Oct 2020: Forbes discusses my “satisficing” voting model at length.
- Oct 2020: Wall Street Journal reports on my work on political party polarization as part of a larger piece about sociophysics, polarization, and media manipulation.
- Sept 2020: Complexity Podcast interviews me about my work on political polarization and social categories.
- Sept 2020: KSFR Radio interviewes about political party polarization.
- 2017: Northwestern News Network features my research on urban scaling laws.