Dr. Sérgio Luiz da Silva is currently a researcher affiliated with the Laboratory of Parallel Architectures for Signal Processing (LAPPS/IMD) at the Federal University of Rio Grande do Norte (UFRN), Brazil, and a collaborator of the Istituto dei Sistemi Complessi—Consiglio Nazionale delle Ricerche (ISC-CNR), c/o Dipartimento di Scienza Applicata e Tecnologia of Politecnico di Torino, Italy. He holds a Ph.D. in physics (2021), which he completed one year ahead of schedule, focused on statistical physics and complex systems applied in geophysical data inversion, as well as a master's degree (2016) in geodynamics and geophysics, both from the UFRN. He also obtained his degree in physics from UFRN in 2013. His primary research interests are in the analysis of data-centered geophysical problems, especially in the theory of inverse problems. From 2021 to 2022, he served as a researcher in geophysics in the GISIS group at the Fluminense Federal University (UFF). From 2022 to 2024, he served as a postdoc researcher at the Politecnico di Torino in Italy. He was a member of the Organizing Committee of the SigmaPhi International Conference series in 2023. Dr. da Silva has published his work in several reputable journals, contributing to the advancement of knowledge in inverse problems and related fields.

1. What is your current research focused on, and why did you choose this research field?
My current research focuses on the inversion of geophysical data. In particular, on improving seismic imaging techniques, particularly for complex geological structures such as the deep pre-salt reservoirs in Brazil. These reservoirs, located beneath thick layers of salt, present unique challenges due to the complex geometry of the salt bodies, the high attenuation of seismic waves, and the presence of non-Gaussian noise in the data. My work involves developing wave-equation-based approaches and advanced computational algorithms to enhance the resolution of seismic images in these environments. This research is conducted in collaboration with multinational companies and academic institutions, aiming to overcome the technical barriers that limit our ability to accurately image these deep structures.

As I delved deeper into geophysics during my master’s and Ph.D. studies, I became particularly intrigued by inverse problems—the challenge of obtaining physical properties from indirect measurements. This led me to explore statistical physics approaches, which provided powerful tools for tackling these problems. Over time, I became increasingly interested in the computational aspects of geophysics, especially the development of algorithms to improve seismic imaging for complex geological structures. In essence, I chose this field because it allows me to combine my curiosity with the satisfaction of solving real-world problems.

2. Could you please introduce us to your research team, as well as how you came to the idea of becoming a scientist?
Our team at the Laboratory of Parallel Architectures for Signal Processing (LAPPS/IMD) in the Federal University of Rio Grande do Norte (UFRN), Brazil, is composed of many engaged researchers working together to advance the fields of computing, communications, and geophysics. We are a multidisciplinary group whose expertise ranges from high-performance computing and numerical algorithms to machine learning and geophysical data analysis. Our team includes undergraduates, master's students, Ph.D. candidates, postdocs, senior researchers, and collaborators from academia and industry around the world, working together to solve complex challenges in signal processing and geophysics.

As for the idea of ​​becoming a scientist, it did not exist. In fact, I did not have a clear plan to become a scientist; my goal was simply to deepen my studies in physics and mathematics and better understand natural phenomena. During my undergraduate studies in Physics at UFRN, I had my first contact with scientific research through a scientific initiation project in Astrophysics. This experience was transformative; it showed me how physics could be applied to solve real problems and sparked my interest in science from a scientist’s perspective. Thus, I can say that my journey to becoming a scientist was a natural progression fueled by curiosity, interdisciplinary exploration, and a desire to make a significant impact. So, I worked in several areas and became particularly interested in geosciences. This interest grew during my master’s and Ph.D. studies, where I focused on statistical physics and complex systems applied to the inversion of geophysical data. One of the key moments that solidified my decision to become a scientist was realizing the potential of interdisciplinary research and the fact that we are always working on the frontiers of knowledge and contributing to the betterment of society through science and technology.

3. Could you please share with us your experience as a reviewer for Geosciences?
Reviewing for Geosciences has been a rewarding experience and has allowed me to contribute to the advancement of geosciences while remaining at the forefront of the latest research in the field. One of the most rewarding aspects is the opportunity to engage with cutting-edge work by researchers from around the world. This process not only broadens my own understanding but also keeps me connected to the global scientific community. As a reviewer, I strive to provide constructive and fair reporting in order to offer suggestions and critiques that will help authors strengthen their manuscripts.

4. What qualities do you think young scientists need?
Young scientists are the future of research and innovation, and their success often depends on a combination of technical skills, personal attributes, and a growth mindset. For young scientists to thrive, I believe they need to be genuinely curious and able to stay motivated, learn from mistakes and keep moving forward, and be resilient. In addition, critical thinking skills to analyze problems and evidence are essential. Finally, they should have a strong work ethic, seek guidance from experienced mentors, and build a professional network capable of providing support and engaging in collaboration.

5. As the winner of this award, is there something you want to express or someone you wish to thank most?
I am grateful for the recognition bestowed upon me by the Geosciences journal. This acknowledgment is not only a personal accomplishment but also a testament to the collaborative and supportive environment in which I have been fortunate to work throughout my career. I am grateful to the Editors and Editorial Board of Geosciences for allowing me to participate in the peer-review process. I take pride in my ability to contribute to the quality and integrity of the research published in numerous journals, as peer review is a fundamental component of scientific advancement. I would also like to express my gratitude to my colleagues, mentors, and collaborators at the Politecnico di Torino, UFF, and the UFRN for their continued support and guidance. Lastly, I would like to express my gratitude to the broader scientific community. I have gained a wealth of knowledge and inspiration from the dedication and innovation I have observed in the field of geosciences through my involvement with the work of researchers from around the world. This award serves as an incentive for me to persist in my efforts to advance science and to provide assistance to the upcoming generation of researchers. I am grateful for the opportunity to be recognized once more.