AI Protein Engineering

Designed AI-Enabled Protein Engineering for the Future of Medicine at Microsoft

Strategic Vision

Protein engineering is a high-stakes, data-dense domain where biochemists juggle massive datasets across fragmented legacy tools. The challenge was to architect a unified platform that didn't just 'display' AI-generated protein models, but integrated them into a live, collaborative research ecosystem. I was tasked with defining the product's foundation, balancing scientific rigor with an intuitive, scalable system architecture that could accelerate the journey from hypothesis to drug discovery.

Impact

• Conducted initial viability research and design for an AI-enabled protein engineering platform including problem framing, market and user research

• Research and prototyping drove further investment and product design direction

• Demonstrated potential to increase speed and efficiency of the drug development process, potentially leading to faster and more effective treatments for a variety of diseases

Responsibilities

• Interviewed biochemists and other experts to understand problem and how to integrate the AI-enabled protein engineering platform into existing workflows

• Collaborated with internal teams and external partners to understand technical limitations

• Designed initial prototype and pitch deck