Ayush Pandey is a faculty member in the Electrical Engineering department at UC Merced with 11 years of experience bridging control theory, hardware design, and large-scale system modeling. He holds a Ph.D. in Control and Dynamical Systems from Caltech and a strong foundation from IIT Kharagpur, where he led robotics and autonomous vehicle teams that competed internationally. His research focuses on mathematical and computational modeling to formally design scalable engineered systems, and he is passionate about creating free, interactive educational technologies to improve classroom learning. Ayush combines hands-on hardware expertise—from leading electronics teams to building autonomous bicycles—with rigorous theoretical work, including contributions to quantization noise analysis for LIGO control systems as a Caltech intern. Based in Pasadena, he is helping establish a new EE department at UC Merced while maintaining an active interest in translating research into practical, deployable systems. Colleagues describe him as a builder who moves fluidly between mentoring students, prototyping hardware, and developing formal models for complex physical systems.
11 years of coding experience
Secondary Education, CBSE Board., Mathematics, Science, English and Computer Science., Secondary Education, CBSE Board., Mathematics, Science, English and Computer Science. at Little World School, Jabalpur
California Institute of Technology
Master’s Degree, Control Systems Engineering, Master’s Degree, Control Systems Engineering at Indian Institute of Technology, Kharagpur
Python based automated model reduction tool for SBML models
Contributions:74 commits, 19 PRs, 61 pushes in 3 years 4 months
model-reductiongatlingpythonsbmlmachine-learning
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Ayush Pandey - Faculty at University of California