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.