My research interests are quite varied. I get attracted to problems having challenging mathematical undertones, possibly allowing some algebraic geometry approach. This brought me closer to a lot of mathematical physics issues and specially string theory. At present I am working at the interface of theoretical physics and AI-driven experimental particle physics. By integrating machine-learning tools into both my formal studies (holography/mathematical physics) and hands-on work with Large hadron Collider open data, I am researching to bridge deep theory with real-time data applications.
Theoretical & Mathematical Physics: My research spans from 0D matrix models and 1D matrix quantum mechanics (mapping it to 2D Yang-Mills theory) through 2D Jackiw–Teitelboim gravity, CFTs and their integrable deformations, up to 3–4D higher-spin gravities and results in (non)-relativistic fluid/gravity duality for higher dimensions. At the 10D end, I study Calabi–Yau compactification, T-duality and Freudenthal duality in supergravity black holes, with side-projects in p-adic holography and other avenues of mathematical physics.
Experimental & AI-driven Applications: Alongside my theoretical endeavor, I’m developing machine-learning tools for jet physics and real-time data-quality monitoring for particle accelerators. My work on physics/symmetry-informed neural architectures further unites my theoretical insights with phenomenological and detector-level innovations.
My research interests are quite varied. I get attracted to problems having challenging mathematical undertones, possibly allowing some algebraic geometry approach. This brought me closer to a lot of mathematical physics issues and specially string theory. At present I am working at the interface of theoretical physics and AI-driven experimental particle physics. By integrating machine-learning tools into both my formal studies (holography/mathematical physics) and hands-on work with Large hadron Collider open data, I am researching to bridge deep theory with real-time data applications.
Theoretical & Mathematical Physics: My research spans from 0D matrix models and 1D matrix quantum mechanics (mapping it to 2D Yang-Mills theory) through 2D Jackiw–Teitelboim gravity, CFTs and their integrable deformations, up to 3–4D higher-spin gravities and results in (non)-relativistic fluid/gravity duality for higher dimensions. At the 10D end, I study Calabi–Yau compactification, T-duality and Freudenthal duality in supergravity black holes, with side-projects in p-adic holography and other avenues of mathematical physics.
Experimental & AI-driven Applications: Alongside my theoretical endeavor, I’m developing machine-learning tools for jet physics and real-time data-quality monitoring for particle accelerators. My work on physics/symmetry-informed neural architectures further unites my theoretical insights with phenomenological and detector-level innovations.