I am an Assistant Professor in System Dynamics at MIT’s Sloan School of Management. 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.
CV (Jan 2023)| LinkedIn
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.