Summary
Philip Wijesinghe is a research engineer specializing in computational neuroscience and biophotonics with over a decade of experience translating physical principles into advanced computational methods and instruments. He develops deep-learning–informed algorithms and optical/electrical systems for biodiscovery, from cellular mechanics imaging and multiscale bioimaging to artificial soft tactile sensing for robotics. His work bridges academic and commercial settings—resulting in 40+ papers, two patents, and invited perspectives—and he has led and mentored multiple research streams and trainees. Currently based in Bath, UK, he holds a PhD in Biophotonics and has held competitive fellowships including the 1851 Research Fellowship, reflecting a blend of rigorous physics-based modeling and practical device development. Notably, Philip combines hands-on instrument design with theoretical machine-learning insights to tackle data-collection problems that were previously intractable.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Biophotonics, Doctor of Philosophy (Ph.D.), Biophotonics at The University of Western Australia