I’m exploring computational social science as a PhD candidate in the Information Technology group at MIT Sloan, where I am fortunate to be advised by Prof. Abdullah Almaatouq.
I worked in oil & gas, but felt that there were too many machines, and not enough people. I then worked in management consulting, and felt that there were a lot of people, but not enough technical work. Computational social science is my people-centric, technically-interesting middle ground.
My broad research interests lie in understanding collaborative and adversarial modes of human-AI interaction, and in exploring how virtual labs and adaptive experimentation can be applied to this and other questions in the social sciences.
|[2023-Oct-20]||Our paper on “The Effects of Group Composition and Dynamics on Collective Problem-Solving”, with Abdullah Almaatouq, Ming Yin, and Duncan J. Watts has been accepted and is forthcoming in Topics in Cognitive Science|
|[2023-Jul-17]|| Presented at IC2S2 2023 in Copenhagen: |
|[2022-Oct-8]||Presented a talk on “Integrative, high-throughput experimentation to explore social cooperation” at the “Measuring Belief Systems in Networked Communities” workshop at Princeton|
|[2022-Jun-7]||Passed my qualifying exams — thank you to Professors Abdullah Almaatouq, John Horton, Wanda Orlikowski, and Kartik Hosanagar for their support!|
|[2021-Nov-4]||Presented a parallel talk at CODE 2021 on “Collective Problem-Solving Across Tasks of Varying Complexity”|
|[2020-Sep-18]||Joined the Information Technology group at MIT Sloan as a PhD student!|
- Task complexity moderates group synergyProc. Natl. Acad. Sci. U. S. A., Sep 2021
- The Effects of Group Composition and Dynamics on Collective PerformanceTop. Cogn. Sci., Nov 2023