Current Projects
My current research is centered around understanding and quantifying the dynamics of human behavior. My interests are broadly in studying complex systems and the formalization of social and behavioral theory.
Dynamics of Collective Emotion / 2026 - present
Collaborators: Vicky C. Yang @ MIT Sloan School of Management and Amit Goldenberg @ Harvard Business School
Dynamics of Public Opinion and Long-term Social Change / 2023 - present
Collaborators: Vicky C. Yang @ MIT Sloan School of Management and Adam J. Berinsky @ MIT Department of Political Science
Policy Preferences for Natural Disaster Recovery and Federal Aid Distribution / 2024 - present
Collaborators: Angie Jo @ MIT Department of Political Science
Expected Action Value for Defense Teams in the NBA / 2026 - present
Collaborators: Eric J. Liu @ MIT Institute for Data, Systems, and Society and Annette (Peko) Hosoi @ MIT IDSS/Math/MechE
Past Projects
My past projects span many fields including control systems engineering, metaphysics, and biophysics. These are primarily from my time at Arizona State University, where I had the incredible opportunity to explore so many topics and receive guidance and mentorship from such a diverse set of individuals.
1 / Adaptive Physical Activity Interventions
This project worked towards developing personalized adaptive interventions for sedentary adults. My work contributed to the system identification side of the project, which used walking data gathered by our collaborators at UCSD. Here, I also used discrete simultaneous perturbation stochastic approximation (DSPSA), developed by Jim Spall at the John Hopkins Applied Physics Laboratory, to more efficiently identify optimal model features and parameter values.
Primary Advisor: Daniel E. Rivera @ Control Systems Laboratory, ASU
2 / Causation as Causal Influence
This project served as my undergraduate thesis, in which I attempted to provide a quantitative framework of David Lewis's causal influence account of causality.
Thesis Committee: Jeffrey Watson, Thad Botham, David McElhoes (ASU Philosophy Department)
This project developed a Bayesian nonparametric framework to analyze single molecule FRET data. For this project, I produced the validation data from single molecule experiments on Holliday junctions labeled with conventional fluorescent dyes.
Collaborators: Steve Presse, Ionannis Sgouralis, Shreya Madaan, Franky Djutanta, Rizal Hariadi
4 / Mechanical Forces in the Origins of Life
Based on the work of Alexander Oparin's primordial soup theory of the origins of life, this was an experimental project that assessed the possibility of raindrops as a mechanical driver in producing early vesicle-like structures that could have facilitated the creation of the first building blocks of life.
Primary Advisor: Rizal Hariadi @ BIONICS Lab
Other Collaborators: Franky Djutanta, Bernie Yurke
Let’s Work Together
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