Catalyst Final Award
Principal Investigators: Shahram Aarabi, MD – Michael Kohn, MD
Team Members: Ariyan Tabesh, MD – Sahil Patel, MD – Tripti Mathur, MBBS – Lindsay Veazey, PhD – Daniel Leotta, PhD
Interns: Zefan Huang, MS candidate – Rebekah King, MS candidate
Project Name: VenoSense – 4D Volumetric M-Mode Ultrasound for Automated DVT Diagnosis
"VenoSense uses continuous ultrasound with automated interpretation to enable rapid bedside DVT assessment without requiring a dedicated ultrasound lab."
Lindsay Veazey, PhD
Catalyst Final Award
Principal Investigator: Alexander Lin, MD, MBA
Team Members: Daniel Rouhani, MD Candidate – Vanessa Huaco, MTM – Sagar Jalui, PhD – Claire Marcel, DDS – Kate Solpari, MD Candidate – Ryan Ma, MD Candidate
Interns: Amritha Maria, MS candidate – Nikhil Mallapudi, MS candidate
Project Name: FaceShift – Progressive, Algorithm-driven Face Shaping
"FaceShift is an AI-driven, non-invasive platform that combines 3D scanning with patient-specific 3D progressive guides to reshape pediatric facial differences—reducing or eliminating the need for later surgery."
Catalyst Final Award
Principal Investigators: Marina Sirota, PhD – Ju Eun Jeon, PhD
Team Members: Lu Yang, PhD
Interns: Tara Pande, MS candidate – Seon Min Kim, MS candidate
Project Name: SpectraHub – AI-Powered Molecular Annotation Platform for Human Metabolome Mapping
"SpectraHub is an AI-powered metabolomics annotation platform that converts heterogeneous LC–MS/MS data into standardized molecular annotations, allowing translational researchers to overcome library-dependent identification limits and accelerate diagnostic validation."
Weill Institute-Catalyst Final Award
Principal Investigator: Shawn L. Hervey Jumper, MD
Team Members: Vardhaan Ambati, MD Candidate – Abraham O. Dada, MD Candidate – Quinn Greicius, BS – Alexander A. Aabedi, MD
Intern: Derek Malvin, MS candidate
Project Name: GlioSense – AI-Guided Intraoperative Mapping of Speech-Critical Cortex in Glioma Using Electrophysiology
"A machine-learning software platform that passively analyzes electrical activity from the brain and tumor to identify speech-critical cortex in real time."
Weill Institute-Catalyst Final Award
Principal Investigator: Andreas Rauschecker, MD, PhD
Team Members: Pierre Nedelec, MS, MTM
Interns: Amrita Nagasuri, MS candidate – Ali Tejani, MD – Zi Li, PhD – Shweta Khandhalu Bhaskar, MS candidate
Project Name: TumorTrace AI – Clinical Deployment of a UCSF Developed AI Platform for Real-World Meningioma Surveillance
"An AI-driven platform that automatically segments and longitudinally tracks individual brain tumors across serial MRI scans, generating quantitative growth metrics and uncertainty estimates directly within the clinical workflow – enabling more accurate, consistent, and scalable detection of meaningful tumor change than manual, single-timepoint radiologic assessment."
