Maria Giovanna Trovato | Director of Business Development
Mindwalk

Maria Giovanna Trovato, Director of Business Development, Mindwalk

Maria Giovanna Trovato is Director of Business Development at MindWalk, bringing over a decade of experience in translational research strategy, AI-driven discovery, and global partnerships. Prior to joining MindWalk, she built and led a major Health & Life Sciences portfolio, driving multidisciplinary initiatives across multi-omics, digital pathology, clinical AI, and computational biology. She has collaborated extensively with biotech companies, hospitals, and research institutions to advance complex, high-impact R&D programs. With a background spanning molecular biology, computational approaches, and scientific communication, she focuses on shaping scalable scientific strategy and accelerating discovery pipelines through integrative multi-omics intelligence.

Appearances:



Festival of Biologics Day 2 @ 17:10

How LensAI Uses a Biology-Native Context Layer in Drug Discovery

Biologics discovery has become one of the most data-rich environments in life sciences, spanning decades of program histories, assay results, structural data, multi-omics outputs, ELN records, and competitive intelligence across hundreds of targets and therapeutic areas. The challenge is not a shortage of data. It is that the infrastructure built to store it was never designed to reason across it. Sequence results, assay outputs, structural models, ELN records, and competitive intelligence are generated across different systems, stored under different identifiers, and shaped by the conventions of the teams that produced them. Standard integration makes data accessible, but accessibility is not the same as computability. Reasoning over biology requires the relationships between records, and when those relationships are implied rather than represented, they must be reconstructed from scratch on every project. At the scale most discovery organizations operate, that reconstruction cost compounds across programs, teams, and therapeutic areas. A representation that loses provenance as it harmonizes is not usable in discovery, no matter how well it performs on a benchmark or how capable the model reading it is. This is the gap MindWalk built ReefIQ™ to fill. ReefIQ™, the governed biological context layer, is powered by HYFT® Technology, MindWalk's biology-native representation engine that links sequence, structure, function, pathway, and literature into a single connected language. ReefIQ harmonizes an organization's discovery data against that representation without flattening the original records or losing provenance. Above it, LensAI™, MindWalk's reasoning and workflow layer, retrieves and reasons over governed context directly, rather than reconstructing it from fragmented records. This session shows what becomes reachable when reasoning runs over governed, computable biology, and how to evaluate it on your own data without disrupting the systems you already run.

last published: 22/Jul/26 17:05 GMT

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