Adam Goulburn is a PhD neuroscientist turned venture investor at Dimension who founded or incubated multiple techbio companies including Cajal Neuroscience and Kallyope, often taking operational roles before recruiting dedicated entrepreneurs. He focuses on the digitization of biology and healthcare, backing technically ambitious ideas in areas like microbiome, brain-computer interfaces, and patient-accelerated drug development where patients own rich longitudinal data that can be reused across multiple trials.

• A heavy focus on the intersection of computational technology and life sciences, specifically how digital tools are transforming biology. A major point of interest is using software to solve traditional laboratory bottlenecks. For example, there is a strong belief that small molecule screening should no longer rely entirely on physical labs, as traditional high-throughput screening has become a major bottleneck in drug discovery. Founders building computational biology startups are actively encouraged to reach out.
• Advocating for the transition of biology from a manual science into a discipline of precision engineering. The core idea is that biological systems and drug discovery can now be intentionally engineered rather than discovered by chance. For instance, immense enthusiasm was shared for startups pioneering the rational design of next-generation molecular glues and those advancing therapeutic protein design.
• Tracking highly technical and emerging areas of life sciences research that introduce novel therapeutic modalities. Specific topics of deep research include radioligand therapies, generative artificial intelligence for scientific journal reviews, chemical retrosynthesis, non-canonical amino acids, and the advanced molecular toolkits now being used to unravel chronobiology and circadian rhythms.
• An appreciation for scrappy, cross-disciplinary teams that bridge the gap between traditional wet labs and modern software. A significant amount of public communication is dedicated to elevating team members and celebrating interdisciplinary talent. Pitching founders should definitely highlight their team composition, especially if it blends deep biological expertise with strong computational and data skills.