Kui Chan
Principal Scientist Cyrus Biotechnology Inc.
As a Principal Scientist at Cyrus Biotechnology with over 4.5 years in this role, Kui specializes in protein engineering, translational biologics R&D, and implementing AI-driven solutions to enhance research and development strategies. His expertise is rooted in creating scalable AI platforms and models that integrate multimodal datasets, enabling targeted advancements in molecular design, developability, and clinical applications.
With over 15 years of experience, Kui has contributed to therapeutic protein design, immunogenicity mitigation, and translational candidate progression, combining computational insights with experimental data. Kui is committed to embedding AI into biopharma workflows, collaborating with multidisciplinary teams to drive impactful scientific and clinical outcomes that advance patient care.
Seminars
- Identify the key barriers to generating and sharing high-quality enzyme engineering datasets, including standardization, IP constraints, and experimental variability
- Explore approaches for creating robust, industrially relevant datasets that improve model predictability, benchmarking, and decision-making
- Discuss how organizations can leverage automation, high-throughput experimentation, and collaborative data initiatives to accelerate AI-enabled enzyme engineering
