14-16 October 2026
Lisbon, Portugal




Call for abstracts will open on 27 January 2026.

Apply for oral or poster presentations.


The Champalimaud Research Symposium 2026
(CRSy26) will gather an interdisciplinary community of researchers to discuss the interplay between the neural and immune systems in relation to cancer initiation, progression and therapy. This symposium will emphasise the dynamic interactions among tumour cells, neurons and immune components, and how these relationships impact tumour growth, metastasis and the tumour microenvironment.

Key topics will include mechanistic insights into neuro-immune signaling pathways, the influence of stress and innervation on tumor immunity, and how immune responses can affect neural activity within tumours and beyond.


Symposium Chairs

Carlos Minutti
Immunoregulation Lab, Champalimaud Foundation, Lisbon, PT

Henrique Veiga-Fernandes Immunophysiology Lab, Champalimaud Foundation, Lisbon, PT


Confirmed Keynote Speakers

Douglas Hanahan
EPFL, Lausanne, CH

Florent Ginhoux
Gustave Roussy, Villejuif, FR

CRSy is the main scientific symposium of the Champalimaud Research. Since 2017, it has fostered global dialogue among researchers across various disciplines, focusing on groundbreaking advancements in neuroscience, physiology and cancer.


Previous Editions

2024
2022



︎    ︎    ︎    

Jonathan Pillow, PhD


Princeton University



Princeton, New Jersey, USA


Jonathan completed his undergraduate education at the University of Arizona in Tucson, where he studied mathematics and philosophy. He received a Ph.D. in neuroscience from New York University in 2005, and was postdoctoral fellow at the Gatsby Computational Neuroscience Unit at University College London. In 2009, he became an assistant professor at the University of Texas at Austin, and in 2014 Jonathan moved to Princeton University to join the Princeton Neuroscience Institute, Psychology department, and Center for Statistics & Machine Learning. Jonathan's current research sits at the border between neuroscience and statistical machine learning, and focuses on computational and statistical methods for understanding how large populations of neurons transmit and process information.

︎ Learn more about the speaker here