Clinicians, ML engineers, and radiology workflow specialists — building worklist intelligence for community hospitals.
CEO & Founder
Trained as a radiologist before completing a master's in machine learning. Previously covered overnight shifts at a Boston-area community hospital, where the unranked worklist problem first became personal. Left clinical practice in 2023 to build the triage infrastructure community hospitals never got.
Chief Medical Officer & Co-Founder
Board-certified radiologist with fellowship training in neuroradiology. Twelve years of clinical practice at regional hospitals across the Northeast. Joined Pacslens in 2024 to ensure clinical validity guides every model development decision.
VP Engineering & ML
ML engineer specializing in medical image analysis and 3D segmentation models for radiology. Previously built computer vision infrastructure at a Boston-area health-tech company. Joined Pacslens in 2024 to lead model development and the DICOM inference pipeline.
Head of Clinical Partnerships
Former VP of Clinical Operations at a regional hospital network in New England. Bridges the gap between hospital procurement cycles and product development. Joined Pacslens in 2025 to build the community hospital partner network from the ground up.
A 4-person team moves fast. We stay grounded by a short list of operating principles.
Principle 01
We build for the radiologist reading at 3 AM, not for the hospital CIO's dashboard. Clinical utility drives every product decision.
Principle 02
We cite published literature. We don't claim clearance we don't have or accuracy we haven't validated against real data.
Principle 03
We're not building for academic medical centers. Community hospitals are underserved by radiology AI. That's our market and our mission.
We're hiring ML engineers and clinical partnerships leads. Angel-funded, mission-driven, Cambridge MA.