Schedule – CHIL

CHIL Unconference: Wednesday, June 25*

1:00 PM – 1:10 PM

1:10 PM – 1:50 PM

1:50 PM – 2:10 PM

2:10 PM – 2:55 PM

2:55 PM – 3:15 PM

3:15 PM – 4:00 PM

4:00 PM – 4:15 PM

4:15 PM – 5:00 PM

5:00 PM – 5:05 PM

5:05 PM – 7:00 PM

Opening Remarks: Welcome to the Builders’ Room

Panel: Lessons from the Frontier – Building & Scaling in Health AI

John Axerio-Cilies (Tempus AI), Ron Alfa (NOETIK). Moderated by Hong Truong (Define Ventures)

Coffee & Networking Break

Lightning Talks: From Prototype to Product

Nikesh Kotecha – Building Organizational Frameworks for (sustainable) AI Programs
Fereshteh Mahvar – Accelerate AI-based product development with open models
Sunita Mohanty – From MVP to Minimum Loveable: Lessons in Building an AI OS for Personalized Medicine

Coffee & Networking Break

Roundtables: Set 1 – Deep Dives with Operators and Builders

Table 1: Regulatory – Data privacy laws in healthcare and AI (Brandon Reilly)
Table 2: Commercial – Early stage sales – selling as you’re building (David Atashroo)
Table 3: Fundraising – First money in – Angels and pre-seed financing (Tyler Wilson, Danh Trang)
Table 4: Technical – Using and accessing data (John Axerio-Cilies)

Coffee & Networking Break

Roundtables: Set 2 – Explore More or Dive Deeper

Table 1: Regulatory – An evolving FDA (Rory Carrillo)
Table 2: Commercial – Selling into life sciences (Shruti Tibrewala)
Table 3: Fundraising – Raising an institutional round (Hong Truong)
Table 4: Technical – Google’s MedGemma (Fereshteh Mahvar)

Closing Remarks: What’s Next for Health AI Builders?

Builders’ Social: Drinks, Bites & Ideas

*RSVP required

CHIL Day 1: Thursday, June 26

8:00 AM – 9:00 AM

9:00 AM – 9:05 AM

9:05 AM – 9:55 AM

9:55 AM – 10:20 AM

10:20 AM – 11:10 AM

11:10 AM – 12:10 PM

12:10 PM – 1:10 PM

1:10 PM – 2:00 PM

2:00 PM – 2:20 PM

2:20 PM – 2:50 PM

2:50 PM – 3:50 PM

4:00 PM – 5:00 PM

5:00 PM – 5:05 PM

Registration

Opening Remarks

Keynote: AI Innovation in Healthcare: A Framework for Responsible AI Integration

Maia Hightower, Veritas Healthcare Insights

Coffee Break

Keynote: Harnessing Computational Tools for Real-World Precision Health

Ida Sim, UCSF and UC Berkeley

Poster Session

Lunch and Sponsor Exhibits

Keynote: A Wearable-Based Aging Clock Associates with Disease and Behavior

Guillermo Sapiro, Princeton University & Apple

Coffee Break

Doctoral Symposium: Lightning Talks

Shan Chen – Enhancing Robustness, Transparency, and Global Inclusivity for Clinical LLM Research
Aishwarya Mandyam – Robust Reinforcement Learning Policy Evaluation in Healthcare
Shashank Yadav: Spatiotemporal Graphs for Dynamic Prediction of ARDS

Panel: GenAI Use and Ethics in Health

Jenna Lester (UCSF), Leo Anthony Celi (MIT), Pranav Rajpurkar (Harvard Medical School), Deborah Raji (UC Berkeley). Moderated by Emily Alsentzer (Stanford University).

Doctoral Symposium: Poster Session

Closing Remarks

CHIL Day 2: Friday, June 27

8:00 AM – 9:00 AM

9:00 AM – 9:05 AM

9:05 AM – 10:00 AM

10:00 AM – 10:20 AM

10:20 AM – 11:10 AM

11:10 AM – 12:30 PM

12:30 PM – 1:30 PM

1:30 PM – 2:20 PM

2:20 PM – 2:40 PM

2:40 PM – 3:40 PM

3:40 PM – 4:20 PM

4:20 PM – 4:30 PM

Registration

Opening Remarks

Year in Review: January 2024 – January 2025

Jessilyn Dunn (Duke University), Roxana Daneshjou (Stanford University)

Coffee Break

Keynote: Shortcut Learning for Medical AI: Opportunity or Threat?

Judy Gichoya, Emory University

Research Roundtables

Table 1: Explainability, Interpretability, and Transparency (Ashery Mbilinyi, Chanwoo Kim)
Table 2: Explainability/Interpretability in Sequence Models (Tanveer Syeda-Mahmood, Nikita Mehandru, Shashank Yadav)
Table 3: Uncertainty, Bias, and Fairness (Emma Pierson, Aparajita Kashyap)
Table 4: Causality (Marie-Laure Charpignon, Nitesh Nagesh)
Table 5: Scalable AI Solutions: Domain Adaptation (Aishwarya Mandyam, Simon Lee)
Table 6: Scalable AI Solutions: Foundation Models (Akane Sano, Arvind Pillai)
Table 7: Scalable AI Solutions: Learning from Small Medical Data (Emily Alsentzer, Brighton Nuwagira)
Table 8: Multimodal Methods (Jason Fries, Bill Chen)
Table 9: Scalable and Translational Healthcare Solutions (Niharika S. DSouza, Yixing Jiang)

Lunch Break

Sponsored Talk: UC Berkeley & UCSF Computational Precision Health
Sponsor Exhibits: CPH, ADIA Lab, Optum, Google, Schmidt Sciences

Keynote: Lessons from the History of Medical AI

Peter Szolovits, MIT

Coffee Break

Panel Discussion: Translational Research in a Rapidly Changing World

Jean Feng (UCSF), Josh Fessel (Independent/Former NIH), Chris Lunt (All of Us Research Program, NIH), Nigam Shah (Stanford University, Stanford Healthcare). Moderated by Peter Washington (UCSF)

Fireside Chat

Andrea Downing (The Light Collective) and Roxana Daneshjou (Stanford University)

Closing Remarks