معرفی
Alexander Strang is an Assistant Professor in the Department of Statistics at the University of California Berkeley. He earned his Ph.D. in applied mathematics from Case Western Reserve University in 2020 and served as a Kruskal Instructor in Statistics at the University of Chicago until 2023. His research spans interdisciplinary domains including statistical physics, spectral graph theory, optimization, and mathematical biology.
Key research areas include:
- Stochastic processes and modeling in biological systems
- Structure-dynamics interplay in networks
- Bayesian inference and inverse problems
- Random graph theory and multi-agent training
His recent publications focus on competitive systems, hierarchical Bayesian models, network analysis, and stochastic optimization. Scientific contributions include the 2022 Suzuki Postdoctoral Fellowship Award and foundational work on:
- Sparsity-promoting hierarchical Bayesian algorithms
- Spectral characterization of games
- Moment closure bounds via algebraic geometry
- Simplicial cohomology in stochastic processes
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