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 Chair:
William Oh, Yale
PMWC Award Ceremony
• Nigam Shah, Stanford
• Thomas Fuchs, Lilly
Keynote
• Thomas Fuchs, Lilly
Keynote
• Nigam Shah, Stanford
Real-World Evidence & Clinical AI: Closing the Loop Between Data and Care
• Chair: Roxana Daneshjou, Stanford
• Aashima Gupta, Google
• Brigham Hyde, Atropos Health
• Michael Pfeffer, Stanford
• Thomas Fuchs, Lilly
From Data to Decisions: Building Regulatory-Grade RWE from EHR Systems in Oncology
• Chair: Kate Estep, Flatiron Health
AI and Real-World Evidence: Building a Learning Health System for Precision Care
• Rich Gliklich, OM1
AI for Clinical Decision Support: From Models to Bedside
• Chair: Amrita Basu, UCSF
• Anurang Revri, Stanford
• Emily Alsentzer, Stanford
• Okan Ekinci, Roche
AI for CDS: From Models to Bedside
• Zachary Ziegler, OpenEvidence
Operationalizing AI in Health Systems: Trust, Adoption & Outcomes
• Chair: Danton Samuel Char, Stanford
• Matthew Solomon, Sutter Health
• Karan Singhal, OpenAI
• Sina Bari, iMerit Technology
• Shashi Shankar, Novellia
• Hal Paz, Khosla Ventures
Safe, Scalable AI in Clinical Practice: What’s Working and What’s Not
• Chair: Vincent Liu, Kaiser
• David Entwistle, Stanford Health Care
AI for Precision Psychiatry: Integrating Multimodal Data Into Clinical Decision Support
• Erwin Estigarribia, HEADLAMP health
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
