Northwestern University

Arthur Montanari

Engineering networks that sync, learn, and think.

arthur.montanari@northwestern.edu
Arthur Montanari
Currently
I am on the academic job market! Please reach out if you think I could be a good fit for your department.

About me

Current
Northwestern University, Center for Network Dynamics (2023–Present)
Postdoc
Luxembourg Centre for Systems Biomedicine (2021–2022)
Education
Ph.D. (2018–2021) & M.Sc. (2017–2018),
Electrical Engineering — UFMG, Brazil
Research projects
  • Network Control & Design
  • Neuro & Unconventional Computing
  • Complex Systems & Nonlinear Dynamics

I'm Arthur Montanari, a postdoctoral scholar at the Center for Network Dynamics and the Department of Physics and Astronomy at Northwestern University. I received the M.Sc. and Ph.D. degrees in Electrical Engineering, with a focus on control theory and nonlinear dynamics, from the Federal University of Minas Gerais (UFMG), Brazil, in 2018 and 2021, respectively. From 2021 to 2022, I was a postdoctoral fellow at the Luxembourg Centre for Systems Biomedicine, University of Luxembourg, where I specialized in the development of machine learning models.

My research lies at the intersection of control theory, complex systems, and neurocomputation. In short, I engineer the network of interactions among large numbers of dynamical units so that they coordinate their behavior, adapt through their dynamics, and collectively compute and optimize.

Recent directions include the design of large-scale neurocomputing systems (from oscillator Ising machines to coupled laser arrays and Josephson junctions), the optimal control of multi-agent systems for spatial navigation, the stability analysis of renewable-rich power grids, and the development of biomedical AI for heart disease prediction and drug discovery.

I seek to bridge theory with applications in physical, biological, and technological systems, and I'm always looking for new theory-experiment-data collaborations. I'm now working on unconventional computing approaches for model learning and training, with the goal of advancing both attention mechanisms and energy efficiency in neural dynamical systems. If you are interested in my research, feel free to get in touch!

Selected publications

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