About
- I am an Assistant Researcher at UCLA and a cofounder of the OASIS Lab.
- My research interests lie in network science, statistical inference, causal inference, information theory, machine learning, data mining, and signal processing.
- My research develops and applies computational methods to understand, predict, and improve complex networked systems—while mapping the fundamental limits of inference: when data contains enough signal and when algorithms can efficiently recover it. I organize my work around three aims: empirically analyzing when methods generalize or fail, deriving theoretical limits on inference and detection, and applying these insights to real-world domains including social networks, digital platforms, public health, and human-AI interaction. I draw on tools from network science, machine learning, causal inference, statistical physics, and information theory.
Education
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PhD
| University of Colorado Boulder |
Experience
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Assistant Researcher
| Cofounder of the OASIS Lab, University of California, Los Angeles |
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Research Scientist
| Computational Social Science Lab, University of Pennsylvania |
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CIFellow
| Human Nature Lab, Yale Institute for Network Science, Yale University |
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Affiliated researcher at Computational Social Science Lab
| University of Pennsylvania |
The best way to reach me is by email.
