Adrian Jones | Applied AI Engineer
Google
Adrian Jones is an Applied AI Blackbelt at Google, where he leads strategic customer engagements and accelerates the adoption of cutting-edge AI technologies. With a focus on AI for Science, he has been instrumental in managing Early Access and incubation programs for innovative specialized agents and models. He operates directly at the intersection of research and incubation, partnering closely with Google's research and product teams to translate advanced capabilities into real-world applications. His impactful work in the healthcare and life sciences sectors includes developing tailored solutions for biotech customers and working extensively with complex healthcare and life sciences data. In his role, Adrian brings a wealth of experience building and scaling AI and machine learning solutions in healthcare and life sciences, having worked across clinical research organizations, lab diagnostics, and pharmaceutical companies. He specializes in designing sophisticated AI systems and conducting rigorous model and LLM benchmarking to ensure optimal performance for enterprise and scientific use cases. A proud New Jersey native and a graduate of Rutgers University, Adrian is dedicated to driving the next generation of scientific discovery through artificial intelligence.
Appearances:
BioTechX USA Day 1 @ 11:45
Bridging the AI Divide: Workflows and Patterns for R&D Personas
From rapid hypothesis generation and intelligent experimental design to complex computational and multi-modal data analysis, Google Cloud's AI for Science solutions (e.g. Co-Scientist, AlphaGenome, AlphaFold, and AlphaEvolve) can act as a force multiplier for your team.
Learn how to:
- Accelerate Discovery: Shorten the path from inquiry to impact with automated literature synthesis and real-time reasoning.
- Optimize Workflows: Streamline lab operations and simulate experimental outcomes before picking up a pipette.
- Harden the Data Layer: Centralize disparate biological and clinical datasets into a secure, unified repository optimized for high-throughput data mining and comprehensive extraction.
- Unlock Innovation: Uncover hidden patterns in your data that traditional methods often miss.
Whether you’re in drug discovery, materials science, or academic research, this session will show you how to merge human expertise with AI precision to stay at the forefront of innovation. Don’t miss the chance to see the future of science in action.
BioTechX USA Day 1 @ 14:30
Google’s Agentic R&D Cloud
Biopharma organizations have long navigated the "laboratory compromise"—the physical and operational divide between wet-lab experimentation and dry-lab computational modeling. This structural separation creates data silos that slow research timelines and limit the impact of computational tools. Today, the industry is transitioning to a model where scientific data acts not just as a laboratory record, but as an active foundation for closed-loop discovery. Addressing this division requires a fundamentally different approach to both technology and organizational collaboration.Google’s Agentic R&D Cloud meets this challenge through a cross-functional, vertically integrated R&D stack that was built with the research operations of Google DeepMind and Google Research in mind. Google’s Agentic R&D Cloud marries emerging specialized models and agents (e.g. AlphaFold, AlphaGenome, AlphaEvolve, and Co-Scientist) with the enterprise infrastructure and scale needed to support advanced scientific computing without the latency, integration gaps, data silos, or errors common in piecemeal systems.
Grounded in real-world deployments and collaborative success stories with leading biopharma partners, this session will explore how Google’s unified R&D stack today is accelerating R&D. Attendees will walk away with a practical agentic blueprint showing how a co-designed R&D stack scales laboratory hypotheses into validated biological discoveries.
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