Summary
Paulito Palmes is a research scientist and research staff manager at IBM Research Dublin with 12+ years of experience bridging academic neuroscience and applied AI. He combines deep expertise in pattern and data mining, evolutionary computation, and neural networks with hands-on skills in biomedical signal and image processing, context-aware mobile applications, and smart environments. His career includes postdoctoral work on fMRI and context-aware reasoning, technical roles at RIKEN and Fusion Garage, and teaching positions—reflecting a rare mix of research, engineering, and mentoring. Fluent in C/C++/Python/R/Matlab and comfortable managing Debian systems, he designs adaptive mobile and activity-recognition systems as well as automated model-selection pipelines. Notably, he applies evolutionary methods not just for optimization but to evolve ANN structures and automate model discovery across bioinformatics and neuroinformatics problems.
12 years of coding experience
7 years of employment as a software developer
BS Applied Math, Applied Mathematics (cum laude), BS Applied Math, Applied Mathematics (cum laude) at University of the Philippines
PhD, Computer Science, PhD, Computer Science at 豊橋技術科学大学 / Toyohashi University of Technology
MS Computer Science, Artificial Intelligence, MS Computer Science, Artificial Intelligence at Ateneo de Manila University