Ronell Sicat is a Visualization Scientist with around a decade of experience at the intersection of scientific research and software engineering, currently developing immersive data-visualization tools at King Abdullah University of Science and Technology. He specializes in augmented, mixed, and virtual reality techniques for exploring very high-resolution imagery and large-scale volumetric data, translating research prototypes into practical analysis tools. His background includes postdoctoral work at Harvard and a PhD in Computer Science from KAUST, blending deep academic rigor with hands-on systems development. Known for tackling scalability and perceptual challenges, he often combines electrical engineering foundations with novel visualization methods to make complex datasets more explorable and actionable.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, 3.67, Doctor of Philosophy (PhD), Computer Science, 3.67 at King Abdullah University of Science and Technology
BS, Electronics and Communications Engineering, 3.51, BS, Electronics and Communications Engineering, 3.51 at Ateneo de Manila University
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