Pranay Seshadri


About me.

I live in London and work at the University of Cambridge and The Alan Turing Institute. I studied computational engineering at Cambridge and aerospace engineering previously at Maryland. During my doctorate I worked at Rolls-Royce plc in Derby and spent time at Stanford. My research focuses on uncertainty quantification, optimisation and machine learning applied to address challenges in aeronautics. I am the founder of Effective Quadratures and the organizer for the Cambridge Linear Algebra Seminar Series (CLASS).

My current research projects are: For all my publications, please check out Google Scholar and Researchgate. For open-source codes, visit my Github profile. If you are really interested in my research, check out this high-level research talk. For my CV, click here.


Chun Yui Wong (PhD student): Embedded ridge approximations for improved computational aerodynamic inference.
James Gross (PhD student): Techniques in polynomial subspace projections for design optimisation.
Joe Zhou (Undergraduate student): High-dimensional quadrature rules.

Latest preprints.

Upcoming conference presentations.

Upcoming invited talks.


IN2-17 Inglis Building,
Department of Engineering,
University of Cambridge.
p.seshadri @