Christopher Danforth

Professor of Mathematics & Statistics at the University of Vermont. Director of the Vermont Advanced Computing Center. Co-director of the Computational Story Lab at VCSI.
Burlington
, Vermont
. United States
Contributor Since September 2026

I am a Professor of Mathematics & Statistics at the University of Vermont, where I direct the Vermont Advanced Computing Center. Along with Peter Sheridan Dodds I run the Computational Story Lab research group at the Vermont Complex Systems Institute.

I received my B.S. in Mathematics & Physics from Bates College in 2001, and a Ph.D. in Applied Mathematics & Scientific Computation from the University of Maryland, College Park in 2006. My early research applied Chaos Theory to improve forecasts made by numerical weather models, and my current work focuses on the dynamics of socio-technical systems.

I am the co-inventor of http://hedonometer.org, an instrument measuring daily happiness based on social media, and have also developed algorithms to identify predictors of depression from Instagram photos. I also lead the Lived Experiences Measured Using Rings Study, a longitudinal experiment incentivizing wellbeing using the Oura ring. My work has received $40M in funding from MassMutual, NSF, NIH, NASA, NOAA, DARPA, DOE, and the MITRE Corporation.

I have co-authored over 150 peer-reviewed publications applying mathematical techniques to many fields including atmospheric science, finance, fluid dynamics, linguistics, literature, and psychology. I received UVM’s Kroepsch-Maurice Excellence in Teaching Award in 2022, and the University Scholar Award in 2024. I have advised over 50 research dissertations including 20 PhD students, 20 MS students, and 15 undergraduate thesis students.

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September 17, 2026
Over the past two decades, complexity science has matured from its origins as a small, largely esoteric subfield of theoretical statistical physics and mathematics into an expansive area of inquiry that bridges disciplines and addresses some of the world’s most acute interconnected challenges.  Nowhere has this interdisciplinary, applied process become more apparent than with the ongoing convergence of complexity and health.  This convergence is happening at all scales—individual and collective, private and public—across approaches to prevention, treatment, management, and containment in integrative and public health spaces, as well as through applied research and innovation. “Our methodological approach goes on and on down to the level of microbiology and finally finding cures for many diseases,” says Italian American physicist and complex networks scientist Alessandro Vespignani. “All that goes through networks and through a vision that has complex systems at the core. Network science is a way to approach complex systems,” Vespignani explained from within Northeastern University’s Network Science Institute, where he serves as director, leads the Laboratory for the Modeling of Biological and Socio-technical Systems (MOBS) lab, and heads several impactful public health initiatives. “We look at elements and their interactions, and we do not get rid of nonlinear phenomena, feedback loops, et cetera, that exist in real world systems; we need to consider those,” Vespignani continues. “And in that sense, there is even more urgency in the work that we as a community do to respond to those challenges and to be of service to the society.” Explore the full InterDialogue with Alessandro Vespignani. The COVID-19 pandemic served as a critical moment of applied research and broad engagement with public health policy for those, like Vespignani, who work at the interface of complexity and health. But theoretical research and its translation into experiments and action began several years prior and...
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