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Adam Wierman's research strives to make networked systems govern the world sustainably and resiliently. His lab develops new mathematical tools in machine learning, optimization, control, and economics, applying these tools to design new algorithms for markets with provable guarantees. The research addresses challenges in data centers, electricity grids, transportation systems, and more, focusing on the intersection of applied probability and network economics. Adam is known for his contributions to online algorithms, online optimization, and stochastic networks, impacting various areas within computing and mathematical sciences.
Most Caltech graduate programs are PhD-only. GRE General and Subject tests vary by department; many have made them optional or no longer accept them.