Researcher with a strong background in physics, mathematics, and numerical modelling, now expanding into machine learning. Actively seeking industry opportunities to leverage my expertise and problem-solving skills in addressing real-world challenges.
I am a postdoctoral research fellow at University of Nottingham, affiliated with the Particle Cosmology group and the Nottingham Center of Gravity. My research focuses on numerical simulations of gravitational systems, combining theoretical knowledge of gravitation and partial differential equations with practical expertise in numerical analysis, software development, and data analysis. I also apply machine learning techniques in a collaborative research project on physics-informed neural networks, as well as in personal projects exploring different applications. As part of the C-DICE challenge hosted by the Alan Turing Institute, I collaborated with a multidisciplinary team to develop an optimization framework aimed at supporting the UK’s net-zero energy targets. In addition to my technical expertise, I have organised research group meetings where I facilitated discussions, gained teaching experience, reviewed journal papers, and presented at conferences, workshops, and seminars.
You can find more about my work on: InspireHEP, ORCID, Google Scholar, GitHub, LinkedIn.