01.1
Biology in place.
How does the neighbourhood of a cell shape disease? I use spatial omics to connect molecular programmes with the architecture of tissues.
Spatial biologyPrincipal & Applied AI Scientist · Roche
Biology is complex.
Let’s connect
the dots.
I’m Alberto. I bring together spatial omics, biological networks and AI to understand disease — and turn complex data into insights for drug discovery.
Based in Basel, Switzerland Working across scales
THE SCIENCE OF CONNECTION
Spatial omics✳Machine learning✳Network biology✳Drug discovery
01 / Research
Context changes
everything.
A protein, a cell, a tissue. Each makes more sense when we understand its connections. My research brings those perspectives together.
01.2
Learning with context.
How can AI use what we know about biology? I work on context-aware models and methods that connect molecular data with useful scientific questions.
Applied AI01.3
Knowledge, connected.
What can we learn by linking different layers of evidence? I develop and use network approaches to explore biological systems and prioritise hypotheses.
Network biology02 / Selected work
Questions into
contributions.
A few pieces of the bigger picture, developed with talented collaborators across disciplines.
Browse publications012026
Nature Communications / Spatial biology
Mapping the spatial biology of residual breast cancer
Following tumour cells and their microenvironment through treatment, residual disease and recurrence.
022024
Communications Biology / Spatial biology
Chrysalis: discovering the compartments within tissues
Finding spatially distinct cellular niches without an external single-cell reference.
032024
Nature Methods / Applied AI
Contextual AI models for single-cell protein biology
Learning protein representations that account for the cell types in which proteins act.
042024
npj Precision Oncology / Spatial biology
A spatial view of colorectal cancer heterogeneity
Resolving molecular subtypes in their tissue context, beyond a single bulk tumour label.
03 / Open science
Built to be
built upon.
Science moves forward when methods are accessible. Explore code, notebooks and tools from my research and collaborations.
Explore all projects
Tissue compartment discovery
Chrysalis
Discover spatially distinct tissue compartments and their expression programmes, without an external reference. Built to work with the Scanpy ecosystem.
Collaborative research · co-author
Multilayer network exploration
RandomWalkRestartMH
Run random walks across multiplex and heterogeneous biological networks to explore connections and prioritise candidate genes.
Method development · first-author research
Alberto Valdeolivas Basel, CH04 / A little about me
Curiosity across
disciplines.
I’m a scientist working at the intersection of computational biology and applied AI at Roche in Basel.
My work connects spatial omics, machine learning and biological networks, with a focus on understanding disease and supporting drug discovery. I enjoy the space where different kinds of expertise meet — and where a computational idea becomes a useful research tool.
This site brings together the research and open-source contributions I can share publicly.
Good science starts with a conversation
Let’s connect the next dots.
Get in touchResearch collaborations, scientific exchange, talks and mentoring.