AI & Algorithms
We build domain-aware AI solutions from the ground up, models that understand the science behind your data.
Find out moreBuilt to solve
science problems.
We are a team of scientists who build with AI and computation. We take on R&D projects for biotech and pharma companies, research foundations, and deep-tech ventures, and we build our own products and companies on the same ground.
What we do
Whether you have a problem or we found one, we build the answer.
TRACK 01
We deploy
For universities, research institutes, NGOs, foundations, and science-driven companies that need to solve a hard problem faster than they can internally.
We embed as a scientific partner inside your team, running your R&D needs. We combine AI & custom algorithms, scientific data analysis, and experimental design with deep expertise across chemistry, computational biology, and physics.
TRACK 02
We build
We keep leading research and spotting new opportunities. Kernel identifies unsolved problems and needs in science and builds the product or company around them.
We lead grant applications and build consortia around them. With internal building capability, we deliver a fast MVP, stress-test it, and assess market fit. When the time is right, we launch, run operations, and spin ventures off as independent companies.
Interested in co-building, or need a scientific partner for a grant opportunity? Let's talk →
Services
How can we help?
We bring scientific depth to your hardest challenges, with a hands-on approach.
Scientific Data Analysis
Biostatistics, biomarker discovery, and mass spectrometry pipelines that turn messy datasets into publication-ready results.
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Multi-Omics
Genetic and genomic analyses, metabolomics, and estimation of functional profiles.
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Experimental Design
Review and refine experimental designs, SOPs, and quality control measures.
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Lab Guidance
Meet regulatory requirements and improve equipment selection and safety compliance.
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IP & Innovation Mapping
Customised competitive intelligence through patent mapping, competitor analysis, and IP strategy development.
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Life Cycle Assessment
Pinpoint environmental impacts across the value chain and drive sustainable improvements.
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Funding
Secure R&D funding through grant writing, budgeting, compliance checks, and stakeholder communication.
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Network
Organise scientific events, conferences, and meetings to optimise coordination and engagement.
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Our commitment
Researchers at heart.
We exist to leave science better than we found it. We go after the problems that actually move research forward, and we make sure what we learn gets into the hands of people who can use it. Before consultants or product builders, we are researchers.
Frontier Research
We partner with foundations and institutes working at the edge of what is known. We contribute to questions that matter to us.
Academic Roots
Our team maintains active affiliations with universities across Europe and the US. We publish, collaborate, and keep one foot in academia, because the best applied science stays connected to the source.
Non-Profit & Co-Innovation
We work with non-profit organisations, public research bodies, and co-innovation consortia on problems that would not otherwise get the scientific attention they deserve. For us, a valuable output is one that delivers impact.
Open Knowledge
We release tools, datasets, and methodologies openly when we can. Knowledge that multiplies is more valuable than knowledge that is locked.
Partners
Working with great organisations
We are proud to work with great organisations across the globe and ready to partner with new ones to tackle hard problems.
Team
The people behind Kernel
Our work is powered by a multidisciplinary team of experts specialising in biotechnology, quantum computing, alternative proteins, and multi-omics research.
Founders
Theoretical Physicist
Fabio Anza is a theoretical physicist. He is Assistant Professor of Physics at the University of Maryland, Baltimore County (UMBC), where he leads the Complex Quantum Systems (CQS) group, and serves as CTO of the Foundational Questions Institute (FQxI). His research spans geometric quantum mechanics, quantum thermodynamics, and the formal verification of physics using Lean 4, and he has secured funding from the U.S. Department of Energy, the Templeton Foundation, RCSA, and Amazon, including an Amazon Research Award for the Physics Co-Pilot project. Fabio holds a PhD from the University of Oxford, where he studied under Vlatko Vedral, and held prior appointments at UC Davis and the University of Washington. At Kernel Science, he brings this foundation in physics, information theory, and applied AI to bear on scientific and industrial consulting projects, including AI-driven initiatives in oncology.
PhD Oxford · Asst. Professor UMBC · CTO FQXi
Life-science Biologist
Simone is specialized in Developmental Plasticity and is mostly interested in gut microbiome, stress physiology, and health. During his PhD at the University of Göttingen he was hosted at the Göttingen Genomics Lab to investigate the gut microbial signature of maternal stress. At the CIBIO department of excellence, Trento University, he studied the ZOE PREDICT cohorts on cardio-metabolic outcomes. He is now a postdoctoral researcher at WashU, investigating prenatal social disadvantage and child health.
Postdoc Washington University School of Medicine · PhD Georg-August-Universität Göttingen
Chemist
Bruna is passionate about food chemistry and nutrition, and believes that sustainable food systems are essential for environmental protection and public health. She is a PhD student in Chemical Engineering at the Politecnico di Torino, researching agrifood waste as raw material for biotechnological applications. Previously she worked as Team Leader at Alpha-Protein GmbH and as Scientific Consultant for The Good Food Institute Europe and Bruno Cell SRL. She is currently Vice-president of Cell Ag Italy.
PhD candidate Politecnico di Torino · Visiting Scholar TUCCA Tufts · VP Cellular Agriculture Italy
Collaborators
Developer
Gabriele is passionate about technology and its role in shaping a safer and more transparent digital future. He believes that innovation in AI and software can empower science while protecting younger generations in their use of the internet. At Kernel Science he designs and develops software tools and Machine Learning pipelines. He also represents Italian youth in the EU, engaging with policymakers, online platforms, and academia on the digital environment.
Neurobiologist
Carmen is a neurobiologist and Assistant Professor at Towson University in Maryland. She loves doing research and communicating science to the public, and she is a strong advocate for diversity, and for women and immigrants in science. After earning a PhD in Functional and Structural Genomics from the International School for Advanced Studies (SISSA) in Trieste, she continued her research at the University of California, Davis, before moving to Maryland.
Asst. Professor Towson University · PhD SISSA Trieste · Postdoc UC Davis
Administration
Commercial Director
Cecilia is a commercial strategist specialized in business development and go-to-market strategy, from lead generation through sales process design and CRM. She holds a Bachelor's degree in International Economics, Management and Finance from Università Bocconi, a three-year programme taught in English with a major in management, and a Master of Science in International Management from Esade. At Kernel Science she leads commercial strategy and business development, connecting the team's research with its markets.
Accounting & Operations
Giulia has a background in visual arts and library science, and a professional path shaped by cultural institutions and large organizations. She is interested in how care, accuracy, and well-structured processes help people work better together. At Kernel Science she manages accounting and administrative activities, supporting the team by ensuring that everyday operations run smoothly and reliably. She believes that solid, often invisible infrastructures are essential to enable meaningful scientific work.