My Reasearch Interest: 

During my PhD, I focused on understanding and improving strategies for large-scale stochastic systems. With the mentorship of my advisors, I delved into the foundational framework of mean field models. Using this knowledge, I further explored its applications, particularly in problems that can be represented as Markovian bandits. My thesis can be found here.

Recently, my research horizon has expanded to encompass a deeper exploration of stochastic optimization. I investigate methodologies that address uncertainties, from chance-constrained optimization ensuring feasible solutions under randomness, to frameworks that emphasize risk-aversion and robustness, safeguarding against worst-case scenarios.

My postdoc journey, on the other hand, has steered me into the domain of extreme value analysis and risk measures. Here, I am channeling my efforts to understand and predict extreme environmental phenomena, such as volatile weather patterns, through rigorous statistical methods.

As I continue to explore and grow, I am actively on the job market!