Summary
Asif Shakeel is a mathematician-turned-applied machine learning scientist with 11 years of experience building algorithms for medical devices, biosensors, mobility data and satellite-enabled humanitarian applications. Based in San Diego, he combines a Ph.D. in mathematics with hands-on roles ranging from VLSI and systems engineering to principal research scientist positions at UC San Diego and industry work at Biolinq and 11 Health & Technologies. He bridges theory and practice—publishing and researching quantum algorithms and quantum cellular automata while translating that mathematical rigor into production-ready algorithms for sensing and IoT. As a current UC San Diego lecturer and principal ML researcher, he mentors students and leads cross-disciplinary projects that connect sustainable energy, agriculture, and mobility analytics. Notably, his background in both ASIC design and advanced quantum simulation gives him a rare ability to optimize solutions from hardware through algorithms to deployed systems.
11 years of coding experience
18 years of employment as a software developer
University of California San Diego