Summary
Gabriel Maher is a Staff AI Researcher and Engineer based in San Francisco with 11 years of experience applying advanced mathematics and machine learning to production systems. He holds a Ph.D. in Computational and Mathematical Engineering from Stanford and an honors background in aerospace engineering and finance from TU Delft, a mix that informs both rigorous research and practical product delivery. Gabriel has moved between industry and academia—teaching ML at Stanford, driving quant research at a hedge fund, and building AI teams at BlackRock, Bardeen, and now WIQ—demonstrating an ability to translate complex models into deployable solutions. He specializes in bridging probabilistic modeling, numerical simulation, and engineering-grade software, often tackling problems where physics-informed insight matters as much as data. Known for using mathematical clarity to solve real-world problems, he pairs deep theory with hands-on engineering to ship reliable AI products. An under-the-radar strength is his cross-domain fluency—from CFD and aerodynamics to finance—which helps him spot modeling shortcuts and robust architectures others might miss.
11 years of coding experience
5 years of employment as a software developer
Master of Science - Honors, Aerospace Engineering - Aerodynamics, Master of Science - Honors, Aerospace Engineering - Aerodynamics at Delft University of Technology
Doctor of Philosophy (Ph.D.), Computational and Mathematical Engineering, Doctor of Philosophy (Ph.D.), Computational and Mathematical Engineering at Stanford University
English, Dutch, Spanish