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Machine learning helps us bring context & meaning to people’s health.

a·bridge
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verb: shorten (a piece of writing) without losing the sense.

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Our research powers the features people use to understand and follow through on their care.

The Highlights

What We’re Building

Proprietary, fully consented, and de-identified dataset, continually annotated with clinicians and researchers.

Machine learning-powered user experiences that bolster privacy and trust.

ML pipelines that are rigorously tested with patients and clinicians.

Publicly available and peer-reviewed research.

Team

We are a diverse team of experts in machine learning, including Carnegie Mellon University professors and their respective labs.

Want to research and validate with us? Join our team.

Ben Schloss, PhD
Abridge
Machine Learning
Dhruvesh Patel
Abridge
NLP Research Intern
Elisa Ferracane, PhD
Abridge
ML Research
Florian Metze, PhD
Abridge
Advisor, Co-Founder
Carnegie Mellon University
Research Professor
Katerina Fragkiadaki, PhD
Carnegie Mellon University
Assistant Professor
Kundan Krishna
Carnegie Mellon University
PhD Student
Nimshi Venkat Meripo
Abridge
ML Ops
Sai Prabhakar
Abridge
ML Research
Sandeep Konam
Abridge
CTO, Co-Founder
Shruti Palaskar
Carnegie Mellon University
PhD Student
Zack Lipton, PhD
Abridge
Advisor
Carnegie Mellon University
Assistant Professor
Publications

Contributions to Research