Dexter Yan specializes in Implementation at AGMI, where he co-leads the Firm's global implementation and transformation arms. He partners with senior leadership teams across life sciences and MedTech to diagnose operational inefficiencies and deliver high-impact solutions in strategic implementation, digital transformation, and supply chain optimization. He has over a decade of experience driving measurable improvements in performance, efficiency, and resilience throughout the healthcare value chain.
Prior to AGMI, Dexter was an Implementation Management Consultant at McKinsey & Company, where he conducted in-depth operational analyses for leading life sciences clients: designing and executing optimized drug manufacturing programs that significantly boosted annual throughput; enhancing MedTech supply chain strategies to drive On-Time In-Full performance; and rolling out tiered huddle structures to embed sustainable performance management.
Earlier in his career, Dexter led strategic assessments for large biopharmaceutical organizations (identifying millions in potential FTE savings and crafting actionable roadmaps to optimize capacity) and directed enterprise-wide digital transformations, including digital performance management and Electronic Batch Record (EBR) systems, yielding significant efficiency gains, labor-cost savings, and reductions in non-conformances.
Dexter holds an MS in Plastics Engineering from the University of Massachusetts and a B Eng in Polymer Science and Engineering from the South China University of Technology.
0+
Successful cases of BD and licensing
We help businesses expand into the US and Asia-Pacific through strategic licensing partnerships that drive global growth
$0B+
Total market capitalization
We have partnered with companies valued at over $10 billion, driving revenue growth and enhancing market value through strategic insights and innovative solutions
0+
Fundraising and due-diligence projects
Our experienced team specializes in securing funding for businesses and mitigating investment risks through meticulous due diligence, driving sound decisions and sustainable growth
Our experts bring both depth of industry & operational expertise and out-of-the-box thinking to fuel change in a world of increasing uncertainty.
We are also an AI-native center of excellence, integrating AI when appropriate and optimal.
We are also an AI-native center of excellence, integrating AI when appropriate and optimal.

Life Sciences
We deliver tailored strategies for Biopharma & Biotech, focusing on R&D portfolio strategy, go-to-market strategy, deep scientific due diligence, transformation, operational excellence, and more.

Healthcare
We focus on care delivery transformation, operational excellence, cost optimization, access and affordability, digital health and technology enablement, and more.

Market landscape & segmentation
We provide market landscaping, competitive intelligence, and segmentation frameworks to identify critical opportunities, inform resource allocation and clear value propositions.

Regulatory pathways & Investigational New Drug readiness
We guide teams trough FDA and global regulatory processes to ensure successful Investigational New Drug submissions, including trial design, preclinical data requirements, and risk mitigation.

Launch strategy & planning
We support clients through global commercial launches, from pre-launch readiness to post-launch execution, leveraging our integrated launch frameworks to align cross-functional efforts and mitigate risk in both established and emerging markets.

Competitive landscaping & asset differentiation
We design optimal investment portfolio strategies to optimize asset allocation, balance risk and return, and drive long-term financial growth for businesses.

Scientific & commercial due diligence
We perform comprehensive due-diligences, analyzing scientific, medical, financial, operational, and market factors to empower investors and businesses with informed decision-making.

Digital transformation
We orchestrate outcome‑driven digital transformations through data‑centric platforms, strategic deployment and monitoring of AI models, and targeted upskilling.