Speaker Profile
BA Hons, Director of Client Advisory and Consulting, Excelra
Biography
Lavinia has built a career at the intersection between strategy and complex scientific challenges, and scalable data solutions. The outcomes of these initiatives have been leveraged throughout biopharma organisations to support critical decision-making. She holds a First Class Hons in Medical Sciences from the University of Oxford, and is widely published key opinion leader, providing innovative drug development intelligence, and has numerous papers in peer-reviewed journals.
Currently, Lavinia leads the Client Advisory and Consulting team at Excelra, the leading biopharma R&D data and technology provider, where she works with clients to address two of the industry's most pressing challenges: data integration and interoperability, and AI readiness.
Talk
Linking Biology and Chemistry: Integrating Transcriptomics with Structure Activity Relationships
Why do structurally similar compounds produce different cellular responses? Answering this requires connecting chemistry to biology. In this session we use generative AI to enable multimodal integration of transcriptomic perturbation data with curated SAR intelligence, unlocking mechanistic insights that neither dataset delivers alone.
AI and Data Sciences Showcase:
Excelra
Excelra partners with leading pharmaceutical and biotech companies to transform complex scientific data into actionable intelligence, offering AI-enabled solutions spanning bioinformatics, scientific informatics, and custom data curation, to get better drugs to patients faster.
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.
