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MTB

With a highly interdisciplinary team, our research addresses significant mathematical problems and fundamental questions in medicine and biology.

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CFDMS

In the CFD-MS group we develop novel multiscale models and high-performance simulation algorithms to describe the dynamics of simple and complex fluids from microfluidics up to macroscopic flow conditions.

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CO

Combinatorial optimization problems are ubiquitous in the real-world. Routing, scheduling, location, or cutting/packing, are examples of common problems in this area. Most of these problems are characterized for having a complexity that makes it impossible to solve high-dimensional instances to optimality, and here is where metaheuristics algorithms come to play. Metaheuristic algorithms are a set of techniques and algorithms that, although in most of occasions do not guarantee to find the global optimal solutions, they provide high-quality solutions in affordable computation times.

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WAVE

What these three topics have in common is that they will be studied making a modern use of classical techniques of Harmonic Analysis, such as: Oscillatory Integrals and Gauss Sums to describe the dynamics of vortex filaments, Singular Integral Operators like the Cauchy Integral to study shell interactions for Dirac equations and confinement, and Carleman estimates to obtain lower bounds that eventually lead to prove new uncertainty principles. More concretely,

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QM

Since its origins in the 1920s, Quantum Mechanics has remained one of the most vibrant and intellectually rich areas of research in both Physics and Mathematics. However, since the early 2000s, and with a significant acceleration in recent years, we have witnessed a turning point with the rise of what is now called the second quantum revolution, or Quantum 2.0.

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MATHDES

Principal Investigators:

Michael Barton and David Pardo

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MSLMS

Created in September 2010 and led by Ikerbasque Research Professor E. Akhmatskaya, the MSLMS group was strengthened in 2020 by the joint Oxford - BCAM Severo Ochoa Strategic Lab on Modelling with PDEs in Mathematical Biology coordinated by Prof. J. A. Carrillo (University of Oxford, UK) and Prof. E. Akhmatskaya (BCAM). The research of the group and Lab is complementary (Figure 1).

SCHENK, Cristina

Christina works on Predictive Metabolic Modeling of Microbiomes and Human Metabolism Through Monte Carlo Sampling within BCAM’s group on Modeling and Simulation in Life and Material Sciences. 

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Events, About the center

The third edition of the “Villa de Bilbao” musical competition returns in May: where piano, violin and mathematics meet

This cultural proposal, part of the ‘2M: Mathematics and Music’ initiative, will be held from 15 to 18 May 2026 at the “Juan Crisóstomo de Arriaga” Professional Conservatory. As a major new feature, this edition will debut the "First International HINVES Spirio Prize", strengthening the…

BCAM people, About the center, Research

BCAM develops mathematical models to decipher the dynamics of atmospheric and oceanic phenomena

  • Ikerbasque researcher Francesco Fanelli leads a project at BCAM to describe, with mathematical rigour, the behaviour of geophysical fluids such as the atmosphere and the oceans.

BCAM people

Ander García will defend his thesis on Thursday, April 23rd

The defence will take place at Sala Adela Moyua, Faculty of Science and Technology (EHU - Leioa) at 11:30

BCAM people

BCAM's Postdoc Fellow, Kanika Rajain, selected as SEMA Nominee for the 2025 ECCOMAS PhD Awards

  • The Spanish Society for Applied Mathematics (SEMA) has officially Rajain’s doctoral thesis as a candidate for the prestigious ECCOMAS Awards for the Two Best PhD Theses in 2025.

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