Summary
Clayton Pereira is an assistant professor and researcher in São Paulo with nine years of professional experience focused on computing, network security, and machine learning. He holds a doctorate in computation and completed postdoctoral research, applying ML to real-world problems such as Parkinson's disease diagnosis and teaching AI/ML at both undergraduate and graduate levels. At UNESP he has progressed from professor roles to his current position while also contributing as a postdoctoral researcher at CAPES and teaching data science and deep learning as a visiting professor. Known for persistence and a taste for challenges, he blends academic rigor with practical expertise in network security and applied machine learning, routinely moving between research, teaching, and applied AI projects. An under-the-radar detail: his early work includes developing an Optimum-Path Forest classifier, reflecting long-standing interest in pattern recognition methods.
9 years of coding experience
2 years of employment as a software developer
Postdoctoral Research, Computer Science, Postdoctoral Research, Computer Science at Universidade Estadual Paulista Júlio de Mesquita Filho
Especialization, Computer/Information Technology Administration and Management, Especialization, Computer/Information Technology Administration and Management at Faculdade Anhanguera - Bauru
Bachelor of Computers, Computer Science, A, Bachelor of Computers, Computer Science, A at Faculdade Origenes Lessa - FACOL
Doctor of Computation, Computer Technology/Computer Systems Technology, Doctor of Computation, Computer Technology/Computer Systems Technology at Universidade Federal de São Carlos / UFSCar
English, Portuguese