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Updated: September 2025
I am a theoretical physicist working at the intersection of quantum and classical systems. My research often gravitates toward the complex systems community, where I apply methods of statistical physics to explore nanoscale devices and emergent phenomena in complex systems. I am also interested in quantum computing and the fundaments of thermodynamics.
I was a staff member of the T4 group at LANL (Condensed matter and Complex Systems), where I am still a guest scientist. I held the JRO fellowship position at Los Alamos National Laboratory (CNLS). Before, between 2014 and 2017, I was a scientist at Invenia Labs. Between January and May 2019 I taught a course on statistical mechanics at UMass Boston. You can find here my detailed research interests.
I am part of the Advanced Network Science Initiative (ANSI), and did work and collaborate with Invenia Labs (Cambridge, UK). I was a postdoctoral researcher at the London Institute for Mathematical Sciences, University College London, and OCIAM, Oxford, in reverse order. I am currently also a guest scientist at the University of Pisa.
Spectral Methods in Complex Systems.
Spectral Methods in Complex Systems.
See the free version (pdf) here: Spectral Methods in Complex Systems (v1)
You can buy the book on Amazon if you want the hardcover or softcover version.
Work highlights:
Solf-Organizing Memristive Networks perspective:
https://arxiv.org/abs/2509.00747
Classical Criticality via Quantum Annealing:
https://arxiv.org/abs/2505.13625
Thermodynamic cost of computing machines
https://arxiv.org/abs/2411.16088v1
DARPA report on quantum computing applications:
https://arxiv.org/abs/2406.06625
Uncontrolled learning with neuromorphic hardware: https://advanced.onlinelibrary.wiley.com/doi/full/10.1002/aisy.202400739
Centrality measures via Cavity: https://www.pnas.org/doi/10.1073/pnas.2403682121
Lack of ergodicity in spin ice:
https://www.nature.com/articles/s41467-023-41235-4
Deep physical reservoir computing with spin ice:
https://www.nature.com/articles/s41467-024-50633-1
Glass transitions in spin ice:
https://www.nature.com/articles/s41567-022-01538-7
Reservoir computing with artificial vortex ice:
https://www.nature.com/articles/s41565-022-01091-7
Rumbling transitions in memristive networks:
https://www.science.org/doi/10.1126/sciadv.abh1542
Rank-1 approximation to matrix inverses and centrality:
https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.5.033123
Production networks and ecology:
https://www.pnas.org/doi/10.1073/pnas.2106031118
Topological Order in Artificial Spin Ice:
https://www.nature.com/articles/s41567-018-0077-0
Memristive networks exact equations: https://journals.aps.org/pre/abstract/10.1103/PhysRevE.95.022140
Local potential approximation in quantum gravity:
Tools:
Here, you can find a description of Evolving Networks, the software we use for simulating graphs with memory.
Here you can find the link to the AMICI tool page.
A Matlab function for evaluating the transfer entropy of binary time series, and one for evaluating the path complexity of a graph
The page of the Nonlinear Time Series Analysis Toolbox to make predictions for chaotic time series. It is a collection of codes into a single GUI in Matlab. It uses State Space Reconstruction.
Here you can find the code for the memristive optimizer for QUBOs and here the script to use it. Here is a blog post about it, and the Julia implementation
A couple of fun facts about me.
A couple of hobbies.
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