We specialize in building machine learning powered applications for healthcare providers. Past projects include stroke prediction from CT scans, asthma prediction from claims data, and early COVID detection from wearable data.
After working with you to finalize your machine-learned models or business logic, we have the expertise to deploy them as scalable, fault-tolerant APIs. We use state-of-the-art development and project management methods, and strive for 100% transparency, test coverage, and documentation.
In addition to our machine learning and software engineering expertise, we can also assist with clinical trial design and regulatory concerns. We have experience working directly with both the FDA and EMA.
Sam graduated from Harvard with a degree in mathematics and East Asian Studies, and has been developing software ever since. He specializes in natural language processing and building applications powered by AI and machine learning. Prior to founding Cairn Labs, he worked on a machine learning team at Google and was the first data scientist at a successful startup in LA.
Clinical Data Scientist
Brianna earned her PhD in quantitative and social psychology at UCLA in 2018, after graduating with a BA from Harvard in 2009. She specializes in the analysis of nested and repeated measures biophysical data and other time-series data. In addition to data analysis, Dr. Goodale provides scientific communication support to Cairn Labs clients. She has helped healthcare start-ups develop clinical SOPs, submit regulatory applications, prepare manuscripts for publication, and present findings to academic and industry audiences. Dr. Goodale's research has been published in peer-reviewed journals across several domains.
Machine Learning Engineer
Blake is an accomplished machine learning engineer, well versed in both classical and machine learning methods. Blake’s deep understanding of machine learning algorithms and his keen intuition, sharpened through years of experience are invaluable for building agile, responsive and scalable machine learning/NLP systems. He graduated from Harvard with a degree in mathematics, where he studied graph theory, statistics, topology, probability theory, real and complex analysis, and linguistics.
Jacob is a full stack developer with a focus on the front-end. He works mainly in React, but also has extensive native experience in Unity, Unreal, and other technologies. He maintains the popular Kivent game engine, in addition to being a core developer of the the cross-platform Kivy framework.