Bridging Biotech & AI


Current automated tissue type segmentation approaches require extensive, time-consuming manual correction, creating a bottleneck in the analysis of large MRI datasets. Recent advances in computer vision enable superior deep learning-based automated segmentation approaches. Here we present FreeBoost, a fully automated tool for segmenting gray matter and white matter in T1 brain MRI.

Meet Our Team!


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Ben Kotopka

Ph.D. candidate Bioengineering

Bioengineer specializing in deep learning for predictive modeling in synthetic biology and the biosciences

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Łukasz Kidziński

Ph.D. Statistics

Mathematician developing new computational methods for biosciences.

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Alexander Onopa

M.Sc. Statistics

Neuroscience pipelines guru.

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Owen Phillips

Ph.D. Neuroscience

35+ publications. Multimodal image analysis and methods development. Stanford GSB Igniter