Hi, I'm Anil Patwardhan - Senior Manager, Quantitative Sciences at Verily Life Sciences
I am driven by the potential of AI to transform clinical diagnostics into personalized, actionable health solutions. I thrive in high-stakes environments where complex statistical rigor meets product innovation.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Developed foundational biostatistical models for clinical genomics during early career roles.
Currently leads evidence strategy for AI/ML medical devices and digital health solutions at Verily.
Offers expert guidance on FDA evidence requirements and statistical validation for diagnostic products.
🚀 Career trajectory
Academic Foundation
Completed PhD research in biostatistics providing the deep analytical rigor necessary for clinical diagnostics.
✦ PhD
✦ Biostatistics
Genomics & Clinical Foundations
Built expertise in bioinformatics and clinical trial analysis within fast-growing diagnostic startups.
✦ Bioinformatics
✦ Clinical Science
Big Tech & Digital Health Evolution
Transitioned into large-scale innovation at Google and Verily, focusing on AI-enabled medical devices.
✦ AI/ML
✦ Digital Health
💪🏻 Superpowers
Clinical Evidence Architect
Designing rigorous pathways for regulatory approval
Defines evidence generation plans for complex SaMD and AI/ML products.
Translates clinical outcomes into compelling regulatory narratives for FDA submissions.
Optimizes statistical frameworks to accelerate technology adoption in medical markets.
Quantitative Innovation Leader
Driving analytical excellence in life sciences
Applies advanced biostatistical methods to validate breakthrough diagnostic tools.
Leads cross-functional teams through the lifecycle of evidence-based product development.
Integrates RWD to refine clinical performance metrics at scale.
Cross-Sector Bridge Builder
Unifying medical, data, and commercial domains
Aligns technical findings with strategic business and clinical goals.
Fosters collaboration between data scientists and regulatory experts.
Translates deep scientific insights for executive and institutional stakeholders.
I'm excited about
Exploring strategic partnerships in emerging digital health ecosystems.
Engaging with forward-thinking leaders shaping the future of AI-driven medicine.
Discovering new methodologies for clinical validation in the evolving FDA landscape.
I can help with
Mentoring scientists on designing evidence strategies for medical device approval.
Advising on statistical frameworks for validating AI/ML diagnostic tools.
Providing guidance on balancing clinical rigor with rapid digital product iteration.
I would love your help on
Connecting with peers navigating the regulatory hurdles of AI in clinical practice.
Learning about new developments in real-world data application for medical diagnostics.
Finding opportunities to share insights on the intersection of biostatistics and digital health.