New & Notable
Recent items of interest from the CPH community.

Prasad Shirvalkar, MD, PhD, Receives Grant to Expand Closed-Loop Deep Brain Stimulation Study for Chronic Pain
Congratulations to Prasad Shirvalkar, MD, PhD, on receiving a grant to expand his study of closed-loop deep brain stimulation (DBS) for chronic pain using a new personalized device.

Serina Chang, PhD, Receives CDSS Machine Learning Research Award
Congratulations to Serina Chang, PhD, and Avi Feller on receiving a CDSS Machine Learning Research Award for “AI-Accelerated Behavioral Experiments for Real-World Decision-Making,” a project developing ways to use LLMs as synthetic respondents to help researchers identify promising interventions before committing to costly fieldwork.

Emma Pierson, PhD and Ziad Obermeyer, MD, Awarded $1.7 Million Through Google.org Impact Challenge
Emma Pierson, PhD, and Ziad Obermeyer, MD, have been awarded $1.7 million through the Google.org Impact Challenge: AI for Science. The grant will support research on advancing medical discovery with AI interpretability and agentic AI techniques.

Ahmed Alaa, PhD, Receives 2026 Okawa Foundation Research Grant
Congratulations to Ahmed Alaa, PhD, on receiving a 2026 Okawa Foundation Research Grant of $10,000 for his project, “Towards Human-AI Complementarity in Healthcare through a Unified Causal Inference Framework.”

Mark van der Laan, PhD, and Toru Shirakawa, MD, receive $1 million to Improve Comparative Clinical Effectiveness Research
Congratulations to CPH AGG member, Mark van der Laan, PhD, CPH PhD student, Toru Shirakawa, MD, and co-investigators from the Kaiser Permanente Division of Research (DOR) for receiving funding from the Patient-Centered Outcomes Research Institute (PCORI) to improve how researchers compare the clinical effectiveness of sequential treatment decisions.

Ahmed Alaa, PhD, receives a $1 million NIH Award
Congratulations to Ahmed Alaa, PhD, for receiving $1 million from NIH to continue his research, “A Model Editing Framework for Participatory Multimodal AI in Dermatology”. The study will develop new methods that enable highly-skilled dermatologists to edit multimodal AI models to achieve dermatologist-level performance in diagnosing skin disease.


