Speaker Profile
Biography
Arnout Van Hyfte joined Bio Strand in 2019 as a member of the founding team and has played an important role in its evolution into what is now Mind Walk. He has contributed to shaping product direction and establishing the product development foundation behind Mind Walk’s LensAI platform, powered by HYFT® technology. Arnout leads the product development organization, working across teams to translate complex capabilities into cohesive, user-ready products. His work supports the ongoing evolution of LensAI, roadmap execution, and the delivery of innovative solutions that integrate smoothly into scientific workflows—advancing Mind Walk’s long-term product vision.
Talk
Traceable Biology: Creating Connected Knowledge Across Drug Discovery
MindWalk addresses one of precision medicine’s core challenges: data fragmentation. Our HYFT-powered platform unifies multi-omic data, EHR systems, and the scientific literature into a biologically grounded knowledge graph containing over 25 billion fully traceable relationships. By explicitly modeling sequence–structure–function biology, our applications deliver explainable insights that accelerate biomarker discovery, patient stratification, and therapeutic development. Unlike black-box approaches, we provide end-to-end traceability and actionable biological context across the entire drug development continuum.
AI and Data Sciences Showcase:
MindWalk
MindWalk is a global biologics discovery company integrating bio-native intelligence, deep data, and advanced lab research in a customizable ecosystem. We partner with biotech and pharma to accelerate therapeutic, anti-drug, diagnostic, peptide, and vaccine programs with depth, clarity, and speed.
Session Abstract – PMWC 2026 Silicon Valley
The PMWC 2026 AI Company Showcase will provide a 15-30 minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.




