Prashant Saxena is an applied mathematician with 15+ years of experience developing mathematical and computational models for complex, real-world systems. He currently works as a Senior Lecturer in Engineering at the University of Glasgow , where he leads interdisciplinary research at the intersection of mechanics, scientific computing, and simulation. He has a great deal of interest in machine learning and data science and works with industrial partners to deliver data-driven solutions.

Prashant has a PhD in Applied Mathematics from the University of Glasgow, and studied Theoretical and Applied Mechanics at the Indian Institute of Technology (IIT) Kanpur. Prashant has worked in Germany, Switzerland, and India, and has been recognised with several competitive awards including the EPSRC New Investigator Award, SERB Ramanujan fellowship, and SERB Early Career Research Award. He is also a Gold Medalist at the Indian National Physics Olympiad.

Interests: Data Science, Mathematical and statistical modelling, Programming

Publications: Github, Google Scholar