Summary
Anderson Borba is an assistant professor and applied mathematician based in São Paulo with a strong interdisciplinary background spanning optimization, probability, computer vision, pattern recognition, machine learning, data science and computational macroeconomics. He holds a PhD in Electrical Engineering and Computing and completed postdoctoral work at Victoria University of Wellington, bringing academic rigor to both research and teaching roles at Mackenzie and IBMEC. With over eight years of professional experience in higher education and research, he blends theoretical depth in applied math with practical machine learning and vision techniques. His work crosses traditional boundaries—applying optimization and probabilistic methods to real-world pattern recognition and macroeconomic models—making him adept at turning complex mathematical ideas into computational solutions. Colleagues describe him as a scholar-practitioner who mentors students while actively pursuing cross-disciplinary projects that link mathematics, computation and economic modeling.
8 years of coding experience
Mestrado, Matemática; Matemática Aplicada, Mestrado, Matemática; Matemática Aplicada at Universidade Federal de Santa Catarina
Doctor of Philosophy - PhD, Apply Math, Doctor of Philosophy - PhD, Apply Math at Victoria University of Wellington
Mackenzie Presbyterian University
English, Spanish