Summary
Israel G is a machine learning and computer vision researcher-engineer with 11 years of experience applying Bayesian inference, probabilistic modeling, and statistical/audio signal processing to real-world systems. He progressed from telecommunications and core network engineering into academic research at INRIA and a PhD in Machine Learning, then spent several years as a research scientist at Meta (including senior roles) before joining a stealth AI startup as Member of Technical Staff. His work bridges foundational probabilistic methods and applied audio-visual perception, with hands-on experience deploying research in industry settings such as Oculus Research. Based in the Greater Pittsburgh area, he combines deep academic rigor with production-focused problem solving, and brings unusual cross-domain fluency from telecom networks to cutting-edge ML research.
11 years of coding experience
14 years of employment as a software developer
Master’s Degree Telecommunications Engineering, Master’s Degree Telecommunications Engineering at Università di Trento
Cisco Certified Networking Associate Computer Systems Networking and Telecommunications, Cisco Certified Networking Associate Computer Systems Networking and Telecommunications at Addis Ababa University Cisco Networking Academy
Doctor of Philosophy Computer Science, Doctor of Philosophy Computer Science at INRIA
Doctor of Philosophy (Ph.D.) Machine Learning, Doctor of Philosophy (Ph.D.) Machine Learning at Université Joseph Fourier (Grenoble I)
Bachelor of Science (B.Sc.) Electrical and computer Engineering, Bachelor of Science (B.Sc.) Electrical and computer Engineering at Addis Ababa University
Italian, English