I am a fifth-year Ph.D. candidate in Operations Management at UCLA Anderson School of Management. I received my B.Sc. in Industrial Engineering from Sharif University of Technology in 2021.

My research is motivated by wildfire management, where decisions made under uncertainty carry severe environmental and societal consequences.

I approach wildfire management through three dimensions — prevention, suppression, and mitigation — each of which remains underexplored in the operations research and management science (OR/MS) literature. My goal is to develop models and insights that deepen our understanding of these dimensions and inform better decision-making in practice.

Methodologically, my work centers on large-scale stochastic optimization for decision-making under uncertainty, with a growing emphasis on decision-focused and sequential learning — settings where data acquisition and predictive modeling are designed to improve downstream operational decisions. I aim to develop methods that combine analytical tractability with practical relevance.

Curriculum Vitae

• May 9, 2026 Our paper won the POMS College of SCM Best Student Paper Award.
• May 7–11, 2026 Presenting at the 36th Annual POMS Conference (Reno, NV) as a Finalist for the POMS College of SCM Best Student Paper Award.
• Mar 27, 2026 Selected to participate in the Rising Stars Workshop at the University of Michigan (29 selected out of 132 applicants).
• Mar 23–27, 2026 Presenting at the 4th International Smoke Symposium — Tallahassee, FL.

• Preventing Catastrophic Wildfires: Annual Grid Inspection and Maintenance Plan
  Major Revision at Operations Research [SSRN]

  with A. Fattahi, S. Dasu, R. Ahmadi

  We design an optimal inspection and maintenance plan for large power grids under uncertainty, capturing correlated wildfire risk and operational capacity constraints. Using data from one of California's largest utility companies, we show how principled planning can substantially reduce the damage from catastrophic wildfires.

  • Media coverage: UCLA Anderson Review, POMS SCM Research Bites
  • Winner, POMS College of SCM Best Student Paper Award 2026
  • Best Flash Talk Award, Early-Career Sustainable Operations Workshop 2026
• Fair and Flexible Scheduling for Dynamic Energy Load Control under Stochastic Demand
  Under review at Management Science [SSRN]

  with A. Fattahi, S. Dasu, R. Ahmadi

  We formulate a stochastic dynamic program for direct load control that jointly models fairness over time and operational flexibility in admissible call lengths. We develop a scalable aggregation–disaggregation method with provable guarantees and quantify the efficiency impacts of fairness and flexibility using high-resolution CAISO demand data.

• Sequential Learning for Grid Inspection and Maintenance to Reduce Wildfire Risk
  Working paper

  with S. Dasu, R. Ahmadi

  We study sequential inspection and maintenance for wildfire-risk reduction when condition assessments are scarce and must be acquired strategically. The project develops a decision-focused learning framework in which data acquisition is guided by its value for downstream intervention decisions, rather than by prediction accuracy alone.

• Beyond Prevention and Suppression: Mitigation in Wildfire Risk Management
  Working paper

  with R. Ahmadi, S. Dasu

  This project examines wildfire risk reduction as a portfolio problem spanning prevention, suppression, and mitigation — three intervention classes that act at different stages of the wildfire process. Our goal is to understand how these three levers should be combined under realistic budget and risk conditions.

The best way to reach me is by email.