Dr Pascal Corso

Pascal Corso

Dr sc. ETH Zurich & Mechanical Engineer

Researcher in Cardiovascular Biomechanics | Entrepreneur

Fusing fluid and solid mechanics, in silico simulations, in vitro testing, machine learning to advance medical technology and improve patient care.

About me

As a researcher specialised in cardiovascular biomechanics, computational and experimental fluid dynamics, I aim to advance prosthetic heart valve technology. Ten years of research into aortic flow abnormalities anchor the methods used to assess valve performance and refine prosthetic valve design towards greater durability and haemodynamic superiority. My research trajectory reflects deliberate progression toward improving cardiovascular prosthesis design. Beginning with flow-diverter stents during my mechanical engineering studies at the University of Mons (2008-2013), I advanced to examining, through doctoral research, laminar-turbulent transitions downstream of stenotic and artificial aortic valves at ETH Zurich (2016-2020). As a postdoctoral researcher at the University of Bern (2020-2024), I led the computational haemodynamics sub-group and investigated the fluid-structure interaction dynamics at the root of valve calcification and flow disturbances in bioprosthetic aortic valves, with published findings covering failure modes and leaflet-design-dependent behaviour.

I am currently pursuing academic and entrepreneurial avenues for next-generation aortic valve design, drawing on experimental flow measurements and advanced computational methods. I secured over 650,000 node-hours on hybrid supercomputing nodes for this work, affording comprehensive valve performance evaluation prior to prototyping and animal testing. My recent position at the Swiss Data Science Center deepened my machine learning capabilities, now channelled into a valve optimisation platform. A parallel CAS in Entrepreneurial Leadership in Technology Ventures at ETH Zurich grounds this work in business development, product-to-market fit and commercialisation strategy. Since late 2024, as independent endeavours, I have led three concurrent projects, submitted six grant and fellowship proposals across Swiss, Belgian and European schemes, presented at four international conferences, given an invited seminar at EPFL, maintained an active publication record and reached the final interview stage for three assistant professor positions at European universities.

News

Apr 2026 - Oct 2026
Guest Editor

Serving as guest editor for a Special Issue of Biomimetics (MDPI; CiteScore 4.2, IF 3.9) titled "Bioinspired Valve Engineering and Cardiovascular Modeling".

Submission deadline: 31 October 2026. Contributions welcome.

Apr 2026 - Under review
Preprint

Preprint deposited on Zenodo and submitted to npj Digital Medicine: "Predicting calcification risk in prosthetic aortic valves: a hybrid physics-based and machine learning approach".

Authors: P. Corso, G. Tagliavini, M. G. C. Nestola, F. B. Coulter.

Mar 2026
Seminar

Invited speaker at EPFL - "Prosthetic aortic valve performance assessment: FSI simulations, spectral analysis and FTLE-based calcification prediction".

Organiser: Prof. S. Deparis (EPFL).

Date, time, place: 10 March 2026, 16:15, CM 1 517.

Feb 2026 - Under review
Grant

Innoviris "Brains for Brussels"

Proposal title: Automated Design And Personalised Tissue-engineered Aortic Valves.

Role: Principal Investigator.

Host: Prof. B. Haut, Université libre de Bruxelles (ULB).

Collaborative support: Dr F. Vanden Eynden, Hôpital Universitaire de Bruxelles (H.U.B.), Prof. J. Goole (ULB), Knowledge Transfer Office (KTO/ULB).

Jan 2026 - Under review
Grant

F.R.S.-FNRS Research Associate ("Chercheur Qualifié")

Proposal title: Integrated Multiphysics Simulations and Machine Learning for the Automated Optimisation of Patient-Specific Polymeric Aortic Valves across Haemodynamics, Durability and Mechanics.

Role: Principal Investigator.

Host: Prof. B. Haut, ULB.

Collaborative support: Prof. C. Oury (Université de Liège), Prof. U. Morbiducci (Politecnico di Torino), Dr S. Celi (Fondazione Toscana G. Monasterio), Dr F. Vanden Eynden (H.U.B.).

Oct 2025 - Under review
Fellowship

IRIS (ULB/VUB, MSCA COFUND) fellowship

Proposal title: Automated Design and Personalised Tissue-engineered Aortic Valves.

Role: Principal Investigator.

Host: Prof. B. Haut, ULB.

Collaborative support: Dr F. Vanden Eynden (H.U.B.), Prof. J. Goole (ULB), Prof. U. Morbiducci (Politecnico di Torino), Dr S. Celi (Fondazione Toscana G. Monasterio).

Current projects

Next-generation prosthetic aortic valve design

Role: Project lead

Developing DurAbleValve, a computational platform combining fluid-structure interaction simulations, Bayesian optimisation and accelerated calcification testing for prosthetic valve design. The platform optimises patient-specific valve design to simultaneously reduce calcification risk, minimise thrombogenic flow patterns and achieve physiological haemodynamics with reduced turbulent energy dissipation.

Patient-specific design FSI simulations Medtech startup

Deep generative super-resolution for enhanced biomedical imaging

Role: Project lead

Collaboration: Swiss Data Science Center, ETH Zurich

Developing deep generative models (conditional variational autoencoders, latent diffusion models) to enhance spatial resolution of biomedical imaging data. Trained on mouse brain mass spectrometry data and cardiovascular 3D particle tracking velocimetry fields, with 4D Flow MRI extension planned. Integrated into the valve optimisation platform.

Generative AI Super-resolution Multimodal imaging

Performance evaluation of polymeric aortic valves

Role: Project lead

Collaboration: Dr F. Coulter, ETH Zurich

Comparing 3D-printed polymeric valves (two leaflet designs) to biological counterparts through FSI simulations on HPC infrastructure. Unsupervised clustering of haemodynamic-derived and leaflet-strain-based metrics classifies calcification risk. Flow and leaflet motion analyses characterise pathological patterns and transitional laminar-to-turbulent structures downstream.

Polymeric valves Transitional haemodynamics Calcification prediction Leaflet motion analysis

Publications & conferences

Peer-reviewed journal articles

2025

Tagliavini G., Holzner M., Corso P. "Modal analysis reveals imprint of snowflake shape on wake flow structures" International Journal of Multiphase Flow, 193:105365

2025

Mokhtari A., Corso P., Jung B., et al. "Comparison of 4D flow MRI and computational fluid dynamics in carotid models with different stenosis levels" Computers in Biology and Medicine, 194:110405

2023

Jahren S.E., Demirel C., Bornemann K.M., Corso P., et al. "Altered blood flow due to larger aortic diameters in patients with transcatheter heart valve thrombosis" APL Bioengineering, 7(4):046120

2023

Tsolaki E., Corso P. (co-first author), Zboray R. et al. "Multiscale Multimodal Investigation and Simulation of Structural Alterations in Failed Bioprosthetic Heart Valves" Acta Biomaterialia, 169(1):138-154

2021

Krol Q., Fouxon I., Corso P., Holzner M. "Local hydraulic resistance in heterogeneous porous media" Geophysical Research Letters, 88(22):e2021GL094694

2021

Tagliavini G., McCorquodale M., Westbrook Ch., Corso P., Krol Q., Holzner M. "Drag coefficient prediction of complex-shaped snow particles falling in air beyond the Stokes regime" International Journal of Multiphase Flow, 140(1):103652

2021

Corso P., Walheim J., Dillinger H., et al. "Toward an accurate estimation of wall shear stress from 4D flow magnetic resonance downstream of a severe stenosis" Magnetic Resonance in Medicine, 86(3):1531-1543

2021

Corso P., Giannakopoulos G., Gülan U., Frouzakis E.Ch., Holzner M. "A Novel Estimation Approach of Pressure Gradient and Haemodynamic Stresses as Indicators of Pathological Aortic Flow Using Subvoxel Modelling" IEEE Transactions on Biomedical Engineering, 68(3):980-991

2019

Corso P., Gülan U., Cohrs N., et al. "Comprehensive in vitro study of the flow past two transcatheter aortic valves: comparison with a severe stenotic case" Annals of Biomedical Engineering, 47(9):2241-2257

Recent conference presentations

10+ international conference presentations spanning fluid mechanics, biomechanics and computer methods

Project proposals submitted as Principal Investigator

Feb 2026

Innoviris "Brains for Brussels" Grant Under review

Innoviris - Brussels Institute for Research and Innovation

Proposal title: Automated Design and Personalised Tissue-engineered Aortic Valves.

Host: Prof. B. Haut, Université libre de Bruxelles (ULB)

Collaborative support: Dr F. Vanden Eynden (Hôpital Universitaire de Bruxelles, H.U.B.), Prof. J. Goole (ULB), Knowledge Transfer Office (KTO/ULB)

Jan 2026

F.R.S.-FNRS Research Associate ("Chercheur Qualifié") Grant Under review

Belgian National Fund for Scientific Research (F.R.S.-FNRS)

Submitted: January 2026 | Resubmission revised in response to evaluators' comments following the January 2025 submission (rated "A - Excellent")

Proposal title: Integrated Multiphysics Simulations and Machine Learning for the Automated Optimisation of Patient-Specific Polymeric Aortic Valves across Haemodynamics, Durability and Mechanics.

Host: Prof. B. Haut, ULB

Collaborative support: Prof. C. Oury (Université de Liège), Prof. U. Morbiducci (Politecnico di Torino), Dr S. Celi (Fondazione Toscana G. Monasterio), Dr F. Vanden Eynden (H.U.B.)

Oct 2025

IRIS Fellowship (ULB/VUB - MSCA COFUND) Under review

Université libre de Bruxelles / Vrije Universiteit Brussel - Marie Skłodowska-Curie Actions COFUND

Proposal title: Automated Design and Personalised Tissue-engineered Aortic Valves.

Host: Prof. B. Haut, ULB

Collaborative support: Dr F. Vanden Eynden (H.U.B.), Prof. J. Goole (ULB), Prof. U. Morbiducci (Politecnico di Torino), Dr S. Celi (Fondazione Toscana G. Monasterio)

Jan 2025

F.R.S.-FNRS Research Associate ("Chercheur Qualifié") Grant Rated "A - Excellent"

Belgian National Fund for Scientific Research (F.R.S.-FNRS)

Status: Not granted (5% success rate) | Resubmission permitted and submitted (see January 2026)

Independent research position proposal for the iValve Platform combining multiphysics simulations with AI-driven optimisation of patient-specific polymeric aortic valves.

Host: Prof. B. Haut, Université libre de Bruxelles (ULB)

Collaborative support: ETH Zurich (Dr F. Coulter), Swiss Data Science Center (Dr E. Krymova), Politecnico di Torino (Prof. U. Morbiducci)

2024 - 2025

Swiss National Supercomputing Centre (CSCS) Grant Granted

300,000 node-hours (equivalent to ~240,000 CHF) in hybrid CPU-GPU computing resources | Project ID s1284 | Piz Daint and Daint.Alps supercomputers

Geometrical and material parameter optimisation of 3D-printed silicone aortic valves from computational data.

Nov 2024

SNSF Ambizione Grant

Swiss National Science Foundation

Status: Not granted (15% success rate)

Independent group leader position for MLAVOpt: data-driven platform for customised polymeric valve design and optimisation.

Host: Prof. F. Coletti, ETH Zurich

Collaborative support: ETH Zurich (Dr F. Coulter), Swiss Data Science Center (Dr E. Krymova), Politecnico di Torino (Prof. U. Morbiducci)

Aug 2024

SNSF-BRIDGE Proof of Concept Grant

Swiss National Science Foundation | Innosuisse

Status: Not granted (16% success rate)

Commercialisation pathway for 3D-printed elastomeric valve prosthesis using in vitro-in silico platform to translate calcification insights into improved durability.

Host: Prof. C. Menon, ETH Zurich

Collaborative support: Dr F. Coulter, ETH Zurich

Industry support: Hi-D Imaging AG (CEO letter)

Academic support: Ingenuity Lab Zurich (group head letter)

2023 - 2024

Swiss National Supercomputing Centre (CSCS) Grant Granted

308,000 node-hours (equivalent to ~245,000 CHF) in hybrid CPU-GPU computing resources | Project ID s1210 | Piz Daint supercomputer

3D-printed aortic valves in patient-specific aorta: computational performance study.

2022 - 2023

Swiss National Supercomputing Centre (CSCS) Grant Granted

62,500 node-hours (equivalent to ~50,000 CHF) in hybrid CPU-GPU computing resources | Project ID s1153 | Piz Daint supercomputer

Leaflet motion and flow characteristics of 3D-printed fibre-reinforced aortic valves.

Total funded computing resources: ~535,000 CHF equivalent | Multiple competitive proposals with excellent ratings

Experience & training

2025 - 2026

CAS in Entrepreneurial Leadership in Technology Ventures

ETH Zurich, Switzerland

Advanced studies in technology entrepreneurship, venture creation, business and leadership development, entrepreneurial teams, marketing, finance and personal branding for deep-tech startups.

2024 - 2025

Scientific Collaborator

ETH Zurich, Swiss Data Science Center (SDSC), Switzerland

Developed deep generative models for spatial resolution enhancement in biomedical imaging. Collaboration with two biology laboratories at École Polytechnique Fédérale de Lausanne (EPFL) on mouse brain lipid distribution analysis using mass spectrometry data.

2020 - 2024

Postdoctoral Researcher

University of Bern, ARTORG Center for Biomedical Engineering Research, Switzerland

Head of computational haemodynamics sub-group (2021-2023), mentoring 5 postgraduate students. Developed high-fidelity fluid-structure interaction simulations for bioprosthetic valves as digital twins of cardiovascular physics. Research focused on correlating haemodynamic and biomechanical indicators with calcification propensity, characterising transition-to-turbulence downstream of prosthetic valves through spectral and modal analysis and investigating vorticity transport mechanisms. Coordinated collaborative research with ETH Zurich, Swiss Federal Laboratories for Materials Science and Technology and Università della Svizzera italiana.

2015 - 2020

Scientific Assistant & Doctoral Candidate

ETH Zurich, Institute of Environmental Engineering, Switzerland

Degree: Doctor of Sciences (Dr sc. ETH Zurich) in Biomedical Flows and Engineering

Dissertation:

Computational and experimental investigation of disturbed aortic flows - novel methods to assess flow abnormalities due to severe stenoses and prosthetic aortic valves

Examiners: Prof. R. Stocker (ETH Zurich), Dr M. Holzner (ETH Zurich/Eawag/WSL), Dr Ch. E. Frouzakis (ETH Zurich), Prof. U. Morbiducci (Politecnico di Torino)

Research: Turbulent transitions downstream of stenotic and transcatheter aortic valves. Combined high-resolution computational fluid dynamics (DNS, LES) with experimental techniques (3D-PTV at 2000 fps, 4D Flow MRI, pulse duplicator systems).

2014

Scientific Assistant

University of Mons, Faculty of Engineering, Belgium

Salary award: Research position funded by the Halleux-Mirland endowment, awarded to outstanding engineering Master's graduates

Project: Computational and experimental study of flow-diverter stent filtration in aortic arch applications. Applied intracranial aneurysm methods to aortic flows using Particle Image Velocimetry (PIV) measurements and CFD simulations.

2011 - 2013

Master of Science in Mechanical Engineering

University of Mons, Faculty of Engineering, Belgium

Degree (magna cum laude): Master of Science in Mechanical Engineering, specialisation in energy production systems

Thesis: Intracranial aneurysm haemodynamics with flow-diverter stents using PIV measurements and COMSOL Multiphysics simulations.

Final year project: Design and study of the mechanical and hydraulic parts of a musical fountain, awarded the Caterpillar Inc. prize for creativity.

Skills & interests

Computational methods

  • Direct Numerical Simulations (DNS)
  • Large-Eddy Simulations (LES)
  • Fluid-Structure Interaction (FSI)
  • Finite-Element Analysis (FEA)
  • High-Performance Computing (HPC)
  • GPU-accelerated computing
  • Bayesian optimisation

Machine learning & AI

  • Variational Autoencoders (VAE)
  • Latent diffusion models
  • Super-resolution architectures
  • U-Net for medical image segmentation
  • Unsupervised classification

Experimental techniques

  • 3D Particle Tracking Velocimetry (3D-PTV)
  • Particle Image Velocimetry (PIV)
  • 4D Flow MRI
  • Pulse duplicator systems
  • Silicone phantom testing

Software & languages

  • Programming: Python, MATLAB, C++, FORTRAN
  • CFD: NEK5000, OpenFOAM
  • FEA: MOOSE framework
  • ML: PyTorch, TensorFlow, scikit-learn
  • Languages: French (native), Italian (native), English (C2), Dutch (B2), German (B1)

Get in touch

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Academic profiles

Google Scholar

ResearchGate

ORCID

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Professional network

LinkedIn

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Institution

ETH Zurich

Current Location: Switzerland (Zurich)

Nationality: Belgian & Italian

Open to: Research collaborations, consulting, speaking engagements