Hadrien Oliveri

@hadrienoliveri.bsky.social

Applied mathematician & Group Leader at MPIPZ @mpipz.bsky.social https://holiveri.github.io/website

Great collaboration with Milan and Stanford finally out. We introduce a whole-brain multiphysics model coupling amyloid-β dynamics and cerebral blood flow, showing how vascular hypoperfusion can trigger and sustain Alzheimer’s disease pathology. 🧠 authors.elsevier.com/sd/article/S...

A whole-brain model of amyloid beta accumulation and cerebral hypoperfusion in Alzheimer’s disease

Accumulation of amyloid beta proteins is a defining feature of Alzheimer’s disease, and is usually accompanied by cerebrovascular pathology. Evidence …

authors.elsevier.com

Plants are everywhere 🌳 but rarely thought of as computing. New review (preprint 🪩 lnkd.in/d5KwzzPN): plants sense, compute, and move without a brain - via growth, combining physical computation, embodied intelligence & functional noise. A physics view of decentralized behavior in living matter 🌱

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Hot off the press 🚨 Epidemic spreading between regions is often modelled on a network 🕸️ But how do we describe this process properly? Here, we show how to build a linear transport operator at the network scale, by coarse-graining local advection-reaction-diffusion within edges. shorturl.at/0tAN8

A multiscale theory for network advection- reaction-diffusion - Journal of Mathematical Biology

Mathematical network models are extremely useful to capture complex propagation processes between different regions (nodes), e.g. the spread of an infectious agent between different countries, or the transport and replication of toxic proteins across different brain regions in neurodegenerative diseases. In these models, transport is modelled at the macroscale through an operator, the so-called graph Laplacian, based on the edge properties and topology, capturing the fluxes between different nodes of the network. However, this phenomenological approach fails to take into account the physical processes taking place, at the microscale, within the edge. A fundamental problem is then to obtain a transport operator from mechanistic principles based on the underlying transport process. Using advection-reaction-diffusion as a generic mechanism for inter-nodal exchanges, we derive a multiscale network transport model and derive the corresponding linear transport operator at the macroscale from first principles. This effective graph Laplacian is fully determined by the transport mechanisms along the edges at the microscale. We show that this operator correctly captures the transport, and we study its scaling properties with respect to edge length.

shorturl.at

Hadrien Oliveri@hadrienoliveri.bsky.social · 11mo ago

⭐New preprint: "A multiscale theory for network advection-reaction-diffusion" with @alaingoriely.bsky.social and Emilia Cozzolino arxiv.org/abs/2509.06546

Preprint 🌱 Plants build nonlinear vectorial representations of light patterns! Surprising results: Opposing cues cancel, so plants grow towards a weaker tie-breaker light. Plants respond to sum of transduced signals, not physical sum of light: optical “illusions”! 🪩 tinyurl.com/44f83xh8

As part of this grant I will be looking soon for a Post-doc in Oxford to model nano-morphogenesis. Please RT and contact me directly if it is a good match for you.

Tessmar-Raible Labs@tessmarraiblelabs.bsky.social · 5mo ago

Absolutely thrilled that our @univie.ac.at @lifesciencesunivie.bsky.social @vbcscitraining.bsky.social lab is among this year's @hfspo.bsky.social #HFSPResearchGrants, along with @alaingoriely.bsky.social @oxfordmathematics.bsky.social. A wonderful opportunity to study morphogenesis at nano-scale!

By capturing the balance between aggregate formation and cellular clearance, our model explains decades of stability before sudden runaway dynamics, and offers a framework to predict disease onset and therapeutic efficacy. Mostly driven by Matthew Cotton and Georg Meisl doi.org/10.1063/5.03...

A universal phase-plane model for in vivo protein aggregation

Neurodegenerative diseases are driven by the accumulation of protein aggregates in the brain of affected individuals. The aggregation behavior in vitro is well

doi.org

In a sarcastic book (Histoire de l’Astronomie du dix-huitième siècle) published in 1827, Joseph Delambre writes about mathematicians: "Les géomètres, qui ne calculent rien, s’imaginent qu’un problème est résolu quand ils l’ont renfermé dans une formule dont personne ne veut faire usage."

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