I am an undergraduate student in Physics and Chemistry (2020-present) with a strong interest in experimental and computational areas. During my involvement with the research group, I contributed to the development of neural networks aimed at studying the thermodynamic arrow in Markovian spin-chain systems. My interest in Machine Learning is given by its versatility and broad applicability in various classification tasks, although I recognize that its interpretation depends on the human understanding behind the design and training of the network. This interdisciplinary approach has allowed me to identify the potential of Machine Learning applied to chemistry, an area I wish to explore further to create innovative solutions that integrate the theoretical and computational knowledge I have acquired in both fields.
Publications
Prediction of the Arrow of Time in a Spin Chain System within a Time-Dependent Magnetic Field Using Machine Learning
Universidad de los Andes | Vigilada Mineducación Reconocimiento como Universidad: Decreto 1297 del 30 de mayo de 1964. Reconocimiento personería jurídica: Resolución 28 del 23 de febrero de 1949 Minjusticia.
