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PETER J. BADDOO

Welcome to my academic website!

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I am an applied mathematician at MIT. My main research interests are currently:

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  • Complex function theory

  • Fluid dynamics

  • Machine learning and data-driven methods

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BIO

I am currently an Instructor in Applied Mathematics at MIT. Previously I was an EPSRC Doctoral Prize Fellow in the Department of Mathematics at Imperial College London. I completed my PhD in July 2019 in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. Prior to that, I completed a four-year MMath at the University of Oxford.

 

I am originally from Reading, UK. Beyond research, my interests are sports, music and theology.

SELECTED RECENT PAPERS

Here are three papers I've been working on recently:
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  • 2021: "Physics-informed dynamic mode decomposition (piDMD)" (link, video)
    P. J. Baddoo, B. Herrmann, B. J. McKeon, J. N. Kutz & S. L. Brunton
     

  • 2021: "Log-lightning computation of capacity and Green's function" (link, video abstract)
    P. J. Baddoo & L. N. Trefethen, Maple Transactions
     

  • 2021: "Generalization of waving-plate theory to multiple interacting swimmers" (link, video)
    P. J. Baddoo, N. J. Moore, A. U. Oza & D. G. Crowdy

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You can view a more complete list here.

NEWS

08/22: I visited the AI Institute in Dynamic Systems at the University of Washington

07/22: I visited the Woods Hole GFD Program

06/22: I gave talks at USNC/TAM, CAvid, Osaka University, and Ghana Numerical Analysis
05/22: I won a Community Building award at MIT Math

05/22: I gave two guest lectures in Gil Strang’s course on machine learning

04/22: Our paper on kernel learning for dynamical systems was published in PRSA

02/22: I taught complex variables with applications in Spring 2022

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MISCELLANY

  1. The image in the header is an illustration of the trajectories of point vortices embedded in a potential flow with a periodic array of obstacles. The dynamical system can be expressed in a conservative form which leads to a Hamiltonian that describes the vortex paths. The colours denote the energy of each configuration: red means highly energetic states whereas blue corresponds to states with low interaction energy. Analytic expressions for the trajectories are available in a canonical circular domain which is then mapped to the physical domain using a new periodic Schwarz–Christoffel mapping formula.
     

  2. If you came here looking for a dating website, you'd be better off at www.badoo.co.uk (one "d")

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