From engineering to physics, and back to building things

My name is Javad Komijani (hover over my name and follow the links for pronunciation). I am a research scientist working across generative modelling, statistical inference, and computational physics. As a theoretical physicist, I study the fundamental particles and interactions that govern nature. Much of my work has been calculating parameters of the Standard Model of particle physics, using lattice QCD. The Standard Model incorporates almost all we know about subatomic particles and has been remarkably successful in describing numerous phenomena. Despite its success, it remains incomplete, and the parameters I have calculated play a role in exploring its limitations and in the quest to uncover what lies beyond it.

   '()()'()'
 ()()();();();                       (E = mc2)
;();();();();()
()();()();()();
  ()()| ();()
    \_| |/     🍎
     ||_/          _
     ||| 🌿      (*_*)
     |||/       \_/-\_
     |||          |-| \
_____|||___🌿_____|_|______...     F = G M m / r2

Links:

INSPIRE HEP | arXiv | Google Scholar | GitHub | LinkedIn | Physics Tree

Brief Bio:

I started out as an engineer, with BSc and MSc degrees in electrical engineering from the University of Tehran, before moving to physics for my PhD in theoretical and mathematical physics at Washington University in St. Louis, where I worked with Prof. Claude Bernard and Prof. Carl Bender. Since then I have lived and done research in St. Louis, Glasgow, Munich and Zurich, most recently as a postdoctoral researcher at the Institute for Theoretical Physics at ETH Zurich (2021–2026). In recent years my engineering side has come back: I build generative models (normalizing flows, diffusion and flow-matching models) that learn to sample physical systems directly from their probability densities, with symmetries and constraints built in, and I develop the open-source PyTorch libraries behind this work.

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