Jose Angel Silva Guillén is an Associate Research Professor at IMDEA Nanociencia since April 2021. During his Ph. D., he worked under the supervision of Profs. Pablo Ordejón (ICN2) and Enric Canadell (ICMAB). He obtained his title from the Universitat Autonoma de Barcelona in 2015. Afterwards, he moved as a postdoc to the group led by Prof. Francisco Guinea at IMDEA Nanociencia. In 2018 he joined the group led by Prof. Shengjun Yuan at the School of Physics and Technology at Wuhan University as a Researcher. Since the beginning of his scientific career, he has been involved with the performance of first-principles calculations which he has used to study a wide range of interesting physical problems. Nowadays his main interests are two-dimensional materials and the effect that different tuning knobs can have on their structural, electronic and optical properties.

I completed my Master of Science in Solid State Physics at M.S. Ramaiah University of Applied Sciences, Bengaluru, India where her research focused on “Accelerated discovery of 3d/4d/5d transition metal-based chalcogenides using machine learning approaches.” my work combined DFT simulations and data-driven modeling to predict key material properties for thermoelectric and optoelectronic applications.

During my master’s program, i also gained in-depth knowledge of condensed matter physics, electronic structure theory, and computational modeling techniques.I earned my Bachelor of Science in Physics, Computer Science, and Renewable Energy from Jain University School of Science Bengaluru, India where i developed a multidisciplinary foundation integrating physics, computational methods, and sustainable energy technologies.

Professionally, I worked as a research intern at defence research and development organisation india, also i worked as a Graduate Research Intern at Nirvana Foundation Solar PV Technology, focusing on solar photovoltaic systems and renewable energy materials.Her research interests include computational design of advanced energy materials, electronic and thermoelectric property prediction using high-throughput DFT and machine learning, and understanding charge transport and structural stability in 2D materials and heterostructures.

I also particularly interested in using computational and AI-driven approaches to accelerate the discovery of sustainable materials for next-generation technologies.I have actively participated in several national conferences and oral presentations, including talks on “Density Functional Theory (DFT) Modeling and Machine Learning” and “Quantum Cryptography and Applications” at M.S. Ramaiah University, and a poster presentation on “Importance of Nanoscience and Technology” at IIT Madras Event. MY academic journey reflects a strong commitment to integrating theoretical research with practical applications in materials science, renewable energy, and nanotechnology.