
As sponsors push for faster, more representative studies, AI-enabled matching and EHR integration are emerging as operational levers, but bias, explainability, and governance will determine whether the technology scales.

Anamika Krishanpal, PhD, is a Life Sciences Digital Leader with over 15 years of experience operating at the intersection of biological domain science and digital engineering. Holding a PhD in Genomics and Bioinformatics, she specializes in bridging the gap between scientific R&D and scalable technology execution by translating complex preclinical, clinical, and multi-omics data frameworks into enterprise digital platforms. Throughout her career, Dr. Krishanpal has partnered cross-functionally with enterprise architects, product teams, business leaders, and scientific stakeholders to conceptualize and build functional solution accelerators, cloud-native data pipelines, and AI-ready data foundations. An accomplished researcher with extensive peer-reviewed publications, she focuses on eliminating domain-to-tech translation friction to accelerate drug discovery, optimize clinical workflows, and align cutting-edge technology with the evolving demands of global biopharma and life sciences industries.

As sponsors push for faster, more representative studies, AI-enabled matching and EHR integration are emerging as operational levers, but bias, explainability, and governance will determine whether the technology scales.