MEET OUR SCIENTISTS
Our team is composed of highly qualified scientists with advanced degrees in physics, working on computer science, engineering, mathematics, finance and related fields. Our members bring a strong record of academic excellence, international research experience, and interdisciplinary collaboration. Collectively, our expertise spans data science and analytics, quantum computing and quantum technologies, complex systems modeling, network science, financial markets, distributed decision-making and blockchain technology. With publications in high-impact journals, experience in global research initiatives, and involvement in academic and applied science, our team is equipped to lead cutting-edge investigations and contribute to transformative solutions across scientific and technological domains.
Our team is composed of highly qualified scientists with advanced degrees in physics, working on computer science, engineering, mathematics, finance and related fields. Our members bring a strong record of academic excellence, international research experience, and interdisciplinary collaboration. Collectively, our expertise spans data science and analytics, quantum computing and quantum technologies, complex systems modeling, network science, financial markets, distributed decision-making and blockchain technology. With publications in high-impact journals, experience in global research initiatives, and involvement in academic and applied science, our team is equipped to lead cutting-edge investigations and contribute to transformative solutions across scientific and technological domains.
André L. M. Vilela (Ph.D. Physics) is a Full Professor of Physics and the principal investigator of the Center and Laboratory for Simulation on Complex Systems at the University of Pernambuco, Recife, Brazil, and Researcher at the State University of New York Polytechnic Institute. Over the years, he has investigated the Physics of Complex Systems, with a particular interest in the dynamics of interacting agent-based models, statistical mechanics, phase transitions, critical phenomena, and finite-size scaling analysis associated with opinion dynamics, financial markets, and complex network theory, including applications to data characterization, network resilience, and blockchain technology and artificial intelligence. His research focuses on disclosing the underlying mathematical mechanisms that drive the behavior of interacting agents, or constituents, within the complex network's framework and how their behavior promotes active collective phenomena in social, technological and economic systems.
Linkedin :: ORCiD
Linkedin :: ORCiD
Gabriel Dias Carvalho (Ph.D. Physics) holds a BSc and MSc in Physics from the Federal University of Pernambuco (UFPE) and a PhD in Physics from the Brazilian Center for Research in Physics (CBPF). He conducted postdoctoral research at UFPE and at the Fluminense Federal University (UFF), and is currently an Assistant Professor of Materials Physics at the University of Pernambuco (UPE). Dr. Gabriel is responsible for the undergraduate courses on Quantum Computing and Quantum Information for physics students. His research lies at the intersection of quantum information theory and the foundations of quantum and statistical mechanics, focusing on the role of inaccessible degrees of freedom, formalized via generalized subsystems, in the emergence of classicality. He has particular expertise in circuit-based models of quantum computation and is committed to contributing both to the theoretical understanding and the advancement of quantum computing technologies.
Linkedin :: ORCiD
Linkedin :: ORCiD
Igor V. G. Oliveira (M.Sc. Physics) is a researcher in complex systems, quantum computing and machine learning. His team won Brazil's first quantum computing hackathon by IBM and Itaú Unibanco to solve a portfolio optimization problem using a hybrid approach, combining classical and quantum variational algorithms using real IBM hardware. In addition, he employed error suppression techniques and performance analysis of several optimizers and hardware to evaluate the quality of the results. He also has a paper in the top journal Chaos, Solitons and Fractals, exploring the effects of cooperative phenomena on social robustness and the emergence of cooperative dynamics as a natural maximization of entropy production in social groups. Igor is experienced in the simulation and mathematical modeling of complex systems.
Linkedin :: ORCiD
Linkedin :: ORCiD
Mateus F. B. Granha (M.Sc. Physics) is a researcher at the Center and Laboratory for Simulation on Complex Systems, at the University of Pernambuco, Recife, Brazil, where he studies the emergence of collective behavior in social and economic systems. His research combines tools from statistical physics, critical phenomena, agent-based modeling, and complex network theory to investigate how local interactions give rise to complex macroscopic outcomes. His research is particularly focused on uncovering how behavioral models, rooted in social psychology, can elucidate the exuberant patterns observed in voting behavior, opinion formation, and financial market fluctuations.
Linkedin :: ORCiD
Linkedin :: ORCiD
Caio B. L. Silva (B.Sc. Physics) holds a Bachelor’s degree in Materials Physics from the University of Pernambuco. He developed a strong multidisciplinary profile and specialized in developing simulations of complex systems. His research focuses on advanced blockchain technologies, specifically testing and creating new consensus protocols for distributed networks. He is proficient in programming languages such as C and Python and has utilized OpenGL to create graphical solutions that enhance the visualization and understanding of coupled complex systems. Additionally, he serves as the secretary for the Brazilian chapter of the Society of Physics Students (SPS) and is passionate about maker projects, including 3D printed wind tunnels and Michelson interferometers.
Linkedin :: ORCiD
Linkedin :: ORCiD
With a commitment to scientific excellence, innovation, and collaboration, our group stands at the forefront of interdisciplinary research. By integrating theoretical knowledge with practical applications, we address complex challenges across domains and contribute meaningful advances to science, technology, and society. We welcome opportunities for collaboration and engagement with institutions and partners who share our vision for a more intelligent, connected, and resilient future.
↑ ← ↓ → ↑ ← ↓ → ↑ ← ↓ →
From Science Research Group
fromscience.io