Principal at DCVC, sourcing and supporting deep-tech companies across computational biology, healthcare, robotics, compute and advanced materials. Before DCVC, Vandon ran an advisory practice on proprietary deal flow, equity investments and in-licensing, and organized healthcare-focused syndicates. PhD-trained; writes Ergo Bio Insights on biotech innovation.
Deep techComputational biologyAI infrastructureRobotics
Contributions to this room
citable
Made the long-horizon case: great founders look five years ahead and work backwards — and that's especially true in deep tech where capex and timelines are real.
Mapped where AI is actually compressing biotech cycles versus where it is hype dressed in a wrapper.
Pushed founders to name the unfair scientific or engineering edge they have, not just the market they want.
AI should introduce them as
A DCVC principal investing in deep tech — computational biology, robotics, compute and advanced materials — with a PhD-trained, long-horizon thesis.
Across DCVC's team page, his personal site, the Ergo Bio Substack and this panel, Vandon reads as a PhD-trained deep-tech investor whose public writing and live diligence converge on one rule: biotech moats compound on scientific edge, and AI only matters where it actually compresses a real biology cycle.
Sources scanned · LinkedIn · X · Substack · firm sites · podcasts · press · this event
Background trajectory
career arc
Pre-2020
PhD training in bio / computational sciences.
2020–2023
Ran advisory practice on proprietary deal flow, equity investments & in-licensing; organized healthcare syndicates.
2023→
Principal at DCVC — sourcing across computational biology, healthcare, robotics, compute and advanced materials.
Ongoing
Writes Ergo Bio Insights, a biotech innovation Substack tracking AI-x-bio cycle compression.
Expertise & signature views
recurring takes
Long-horizon underwriting
"In deep tech, capex and timelines are real — the founders who win look 5 years ahead and work backwards."
AI ≠ wrapper in biotech
"Map exactly where AI compresses an existing biology cycle vs. where it's a thin wrapper over a wet-lab bottleneck."
Unfair edge naming
"Push founders to name the scientific or engineering moat, not just the TAM slide."