Research

My research focuses mainly on algebraic statistics, a field that integrates computational algebraic geometry, commutative algebra, and combinatorics to study statistical problems, with applications spanning biology and other domains. An aspect  of my work involves studying invariants in statistical models, particularly those related to phylogenetics, such as characterizing invariants of phylogenetic network models and mixtures of phylogenetic tree models. I also explore the algebraic complexity in solving statistical optimization problems, including maximum likelihood estimation and Wasserstein distance optimization. 


My broader research extends to epidemiology, where I use mathematical models to analyze disease co-infections and optimize control strategies. 


I am an advocate of collaborative research efforts, as it enriches ideas and drives innovative solutions. I am grateful to have worked alongside a remarkable group of collaborators, whose expertise has been invaluable in advancing our collective research goals.

Publications (Google Scholar)

*This paper was one of the most downloaded paper in its first year of publication (picture below).