Assistant Professor at University of Central Florida
Orlando, Florida, United States
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Summary
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Senior
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Ali Siahkoohi is an assistant professor and computational scientist with nine years of experience bridging AI, uncertainty quantification, and inverse problems. Trained at Georgia Tech and mentored by Maarten de Hoop and Richard Baraniuk, his research develops scalable methods for quantifying model uncertainty using generative models, variational inference, and hypernetworks to improve AI robustness. He held a Simons Postdoctoral Fellowship at Rice and research roles at Georgia Tech, UBC, and a research internship at Google’s Chrome Media team, demonstrating fluency across academia and industry. Based in Orlando, he combines deep domain knowledge from geophysics and electrical engineering with modern ML to tackle reliability in high-stakes models. His work is notable for applying theory-driven approaches from seismic imaging to practical uncertainty estimation in AI systems.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Science and Engineering, Doctor of Philosophy - PhD, Computational Science and Engineering at Georgia Institute of Technology
Master’s Degree, Geophysics, Master’s Degree, Geophysics at University of Tehran
Bachelor’s Degree, Electrical Engineering - Communication Systems, Bachelor’s Degree, Electrical Engineering - Communication Systems at Sharif University of Technology
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Ali Siahkoohi - Assistant Professor at University of Central Florida