My research spans computational biophysics, bioinformatics, and the physics of complex systems, with a strong focus on genomic structures and cytoskeletal dynamics. I have contributed significantly to the development of algorithms for the identification of higher-order repeats (HORs) in centromeric and NBPF regions of human and primate genomes, including the GRM methods. These computational approaches have enabled novel insights into genome architecture and its evolutionary implications, including the potential links between repeat structures and cognitive traits.
In parallel, my work in cellular biophysics explores the dynamics of microtubule systems and motor proteins, particularly in processes like nuclear centering and kinetochore oscillations, combining experimental collaboration with theoretical modeling. I also maintain active collaborations in microbial growth modeling and the analysis of biological time series data.
Academically, I teach a broad spectrum of courses ranging from classical mechanics and quantum physics to computing, algorithms, and bioinformatics. I am committed to interdisciplinary education and have authored multiple course materials and textbooks. My involvement in national education reform and labor market alignment projects complements my scientific focus with policy-level impact.
My long-term interest lies in bridging physics, biology, and computation to uncover fundamental principles in living systems and contribute to data-driven science policy
My research spans computational biophysics, bioinformatics, and the physics of complex systems, with a strong focus on genomic structures and cytoskeletal dynamics. I have contributed significantly to the development of algorithms for the identification of higher-order repeats (HORs) in centromeric and NBPF regions of human and primate genomes, including the GRM methods. These computational approaches have enabled novel insights into genome architecture and its evolutionary implications, including the potential links between repeat structures and cognitive traits.
In parallel, my work in cellular biophysics explores the dynamics of microtubule systems and motor proteins, particularly in processes like nuclear centering and kinetochore oscillations, combining experimental collaboration with theoretical modeling. I also maintain active collaborations in microbial growth modeling and the analysis of biological time series data.
Academically, I teach a broad spectrum of courses ranging from classical mechanics and quantum physics to computing, algorithms, and bioinformatics. I am committed to interdisciplinary education and have authored multiple course materials and textbooks. My involvement in national education reform and labor market alignment projects complements my scientific focus with policy-level impact.
My long-term interest lies in bridging physics, biology, and computation to uncover fundamental principles in living systems and contribute to data-driven science policy