Redefining Scale
We envision the ability to automatically learn mechanistic biology from nature's near-infinite experiments. Once you can do that, you can do anything.
Biology first
Every individual, of every species, is unique. Nature is conducting an almost-infinite range of silent experiments. We are at a moment in history when our ability to read the results of these experiments has expanded beyond the imagination of our predecessors: we can generate data that uses natural variation to reveal the molecular mechanisms of disease.
The why not the what
Biology runs on causes, not correlations. By decoding the ‘why’ of living systems - cause and effect - we can reveal molecular targets that have been missed, overlooked or undervalued.
Thinking in the language of biology
The language of biology arose by chance from chaos, but is remarkably consistent across every lifeform on the planet. We see reasoning in the language of biological observations as the foundation of AI development, not as an afterthought. By training AI explicitly in real observations, we empower it to make discoveries that no human could make.
Bio x AI Team
A meeting of world-leading biologists and computer scientists
Kenneth Baillie
Chief Executive Officer
Kenneth Baillie, FRSE FMedSci, is transforming our understanding of life through the intersection of computational biology and critical care medicine. As Professor of Experimental Medicine at the University of Edinburgh and Co-Lead of the Baillie-Gifford Pandemic Science Hub, he bridges the gap between genomic discovery and clinical breakthroughs.
Professor Baillie spearheaded the world’s largest genome-wide association study (GWAS) on critical illness, leading to pivotal discoveries including the identification of baricitinib as an effective COVID-19 treatment. His innovative approach to biological research transcends traditional boundaries, with applications spanning medicine, agriculture, and environmental science.
A visionary leader who has secured over £100 million in career funding, Professor Baillie’s groundbreaking work appears in the world’s most prestigious scientific journals, including Nature, Science, NEJM, and The Lancet. As CEO of Multiscale, he is driving the development of an autonomously-learning computational model of life, leveraging his unique expertise in genomics, data science, and cross-species biological systems.
Jonathan Millar
Chief Product Officer
Jonathan Millar, MD PhD, brings a powerful combination of clinical expertise and computational innovation to his role as Multiscale’s Chief Product Officer. As a Senior Research Fellow at the University of Edinburgh and Consultant in Intensive Care Medicine, he has pursued the integration of AI and omics technologies into therapeutic discovery and clinical trials.
Dr. Millar’s leadership of several international studies, demonstrates his ability to orchestrate complex, large-scale clinical research programs. His extensive work building global research networks across North America, Europe, Asia, and Australasia positions him uniquely at the intersection of international scientific collaboration and technological innovation.
At Multiscale, Dr. Millar harnesses his distinctive blend of clinical insight and computational expertise to drive the development of AI-powered solutions that decode biological complexity across species and scales. His vision for transforming biological research through advanced computation is helping shape the future of life sciences.
Konrad Rawlik
Chief Technical Officer
Konrad Rawlik, PhD, is revolutionising genomics through advanced machine learning applications. As a Chancellor’s Fellow at the University of Edinburgh, he has developed groundbreaking computational approaches that decode the complex genetic mechanisms driving biological processes.
Published in prestigious journals including Nature and Nature Genetics, Dr. Rawlik’s research bridges theoretical machine learning and real-world genomic analysis. His entrepreneurial acumen is demonstrated through Omecu, the successful startup he co-founded, which pioneered secure, federated genomic data analysis solutions.
As Multiscale’s Chief Technical Officer, Dr. Rawlik leads the development of our AI-driven biological modeling platform. His rare combination of deep technical expertise and proven business leadership makes him ideally suited to transform our vision of a comprehensive, cross-species biological model into reality.
Mirella Lapata
SVP, AI Research
Mirella Lapata, FRSE, stands at the forefront of Natural Language Processing and generative AI innovation. As a distinguished professor at the University of Edinburgh, she ihas transformed how machines comprehend, reason with, and generate human language. Her groundbreaking contributions have earned her the prestigious British Computer Society Karen Spärck Jones Award and election to the Academia Europaea.
Professor Lapata drives AI innovation through multiple leadership roles, serving as Director of the UKRI Centre for Doctoral Training in NLP and as a Turing AI World-Leading Researcher Fellow. Her founding of the Edinburgh Laboratory for Integrated Artificial Intelligence (ELIAI) and strategic collaborations with tech leaders like Google DeepMind and Amazon demonstrate her ability to translate cutting-edge research into practical applications.
At Multiscale, Professor Lapata’s pioneering work in AI and language understanding is instrumental in decoding complex biological data across diverse life forms. Her expertise in developing sophisticated AI systems that can interpret and generate complex information is helping revolutionise our understanding of biological systems, from microscopic organisms to human disease.
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