Behnaz Arzani loves hard problems and the freedom to explore. That makes research a great fit! She discusses her work in network management, including the potential role of LLMs in the field; the challenges that excite her; and how storytelling changed her life.Learn more:* Solving Max-Min Fair Resource Allocations Quickly on Large Graphs (https://www.microsoft.com/en-us/research/publication/solving-max-min-fair-resource-allocations-quickly-on-large-graphs/) | Publication, February 2024* Finding Adversarial Inputs for Heuristics using Multi-level Optimization (https://www.microsoft.com/en-us/research/publication/finding-adversarial-inputs-for-heuristics-using-multi-level-optimization/) | Publication, February 2024* MetaOpt: Examining, explaining, and improving heuristic performance (https://www.microsoft.com/en-us/research/blog/metaopt-examining-explaining-and-improving-heuristic-performance/) | Microsoft Research blog, January 2024* A Holistic View of AI-driven Network Incident Management (https://www.microsoft.com/en-us/research/publication/a-holistic-view-of-ai-driven-network-incident-management/) | Publication, October 2023* Behnaz Arzani: Painting, storytelling, and other hobbies (https://www.microsoft.com/en-us/research/people/bearzani/painting-and-other-hobbies/) | Microsoft Research bio page