Speaker Profile
CEO, HEADLAMP health
Biography
Erwin Estigarribia is the Chief Executive Officer of Headlamp Health, leading the companys mission to deliver the right medication to the right patient at the right time. With over 25 years of international experience in life sciences, Erwin has founded and scaled ventures at the intersection of data, biotechnology, and clinical care. At Headlamp, he is driving the creation of the first agentic AI platform for neuroscience, integrating multimodal patient data to advance precision in diagnosis, treatment, and research. By replacing trial-and-error psychiatry with data-driven precision medicine, Headlamp is transforming mental healthcare and redefining how psychiatric conditions are understood and treated worldwide.
Talk
Agentic Intelligence for Precision Neurocience
Agentic Intelligence for Precision Neurosciences integrates multimodal biological, clinical, and behavioral data through adaptive, process-engineered frameworks. These systems learn from biology and workflow feedback, reducing years of frustration for clinicians and patients while derisking clinical trials. The result: biology-informed, actionable intelligence that accelerates discovery and precision care.
Session Abstract – PMWC 2026 Silicon Valley
Track Co-Chairs:
- William Oh, Yale Cancer Center
- David Reese, Amgen
Patient-centric data, such as Real-World Evidence (RWE) and Real-World Data (RWD), has become critical in reshaping drug development and healthcare decision-making. Over the last few years, regulatory agencies like the FDA and EMA have increasingly embraced RWE/RWD for decision-making processes, influencing everything from new drug indications to post-marketing surveillance. The integration of RWE and RWD is not only supporting clinical trial design and regulatory approvals, but also enabling precision medicine by providing deeper insights into patient subpopulations and their outcomes
PMWC Award Ceremony Honorees
• Nigam Shah, Stanford
Keynote
• David Reese, Amgen
Keynote
• Zachary Ziegler, OpenEvidence
Real-World Evidence & Clinical AI: Closing the Loop Between Data and Care
• Chair: Roxana Daneshjou, Stanford
• Aashima Gupta, Google
• David Sontag, Layer Health
• Brigham Hyde, Atropos Health
• Brian Bradbury, Amgen
From Data to Decisions: Building Regulatory-Grade RWE from EHR Systems in Oncology
• Chair: Kate Estep, Flatiron Health
AI for Clinical Decision Support: From Models to Bedside
• Chair: Amrita Basu, UCSF
• Anurang Revri, Stanford
• Emily Alsentzer, Stanford
• Okan Ekinci, Roche
Operationalizing AI in Health Systems: Trust, Adoption & Outcomes
• Chair: Danton Samuel Char, Stanford
• Matthew Solomon, Sutter Health
• Karan Singhal, Head of Health, OpenAI
• Sina Bari, iMerit Technology
• Hal Paz, Khosla Ventures
Safe, Scalable AI in Clinical Practice: What’s Working and What’s Not
• David Entwistle, CEO, Stanford Health Care
Workflow-First Clinical AI: Integration Patterns, Guardrails & Change Management
• Jorge Duran, Klick Health
From Patient-Generated Data to Regulatory-Grade RWE: Design, Bias & Outcome Linkage
• Greg Bowyer, Evidation
