João Batista Florindo

Computer Science

João Batista, named after St. John the Baptist on whose celebration day he was born, hails from a rural family and was raised on a farm. His curiosity led him to explore amateur radio at six, the only accessible form of communication then. He broke new ground in his family by being the first to attend university, where he studied computer science at the University of São Paulo. His academic journey continued at the same institution, earning a master’s degree in computational physics and a doctorate in applied physics.

In addition to his passion for computing, João has a love for singing and often performs at weddings. His research endeavors to establish a connection between chaos theory and cell development. Currently, he is a lecturer at the Institute of Mathematics, Statistics and Scientific Computing at the State University of Campinas.

Open Calls

Science Call 2

Projects

Applying Chaos Theory and Image Analysis for the Assessment and Prognosis of Severe Carcinomas
Science / Computer Science

The interactions between biological structures are known to follow a complex and highly non-linear dynamic, making chaos theory a fitting approach for their study. This project proposes the application of chaos theory to explore the relationship between the cellular morphology of aggressive cancer types, such as certain lung carcinomas, and their biological development. The dynamics of these interactions will be analyzed using microscopic images of the affected tissue. This approach offers a simpler and more flexible model compared to traditional physical models. The project aims to answer the following questions: 1) How do the non-linear characteristics of these images correlate with the risk of developing cancer? 2) How does the progression of these images over time relate to the disease’s evolution and the impact of administered treatments? 3) The anticipated results from this study could enhance diagnostic procedures and inform the development of therapies that improve patient survival rates and quality of life.

Amount invested

Grant 2019: R$ 50.000,00
  • Topics
  • Carcinoma
  • Chaos theory
  • diagnóstico
  • modeling