Ryan Cabeen work email
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Ryan Cabeen personal email
I build software for biotech, health, and neuroscience using techniques from machine learning, imaging, data modeling, and visualization. Currently, I'm working at Blueprint on tools to help people understand their health and make decisions that promote longevity.I have fifteen years of experience at biotech startups, academic research institutes, medical campuses, and consulting. My scientific research looks at the development and evaluation of computational tools for biomedicine, especially neuroscience applications of imaging and analytic techniques. I’ve applied these approaches to study frontoinsular cortex, stroke therapeutics, Alzheimer’s disease and other topics. I’m the creator of the Quantitative Imaging Toolkit (QIT), a software package used in my research and that of numerous other labs and studies, which received grant support from the Chan Zuckerberg Initiative Imaging Scientist program. I’ve also worked on applying computer vision and machine learning to digital pathology images for cancer clinical diagnostics and prognostic testing at biotech startups.
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Owner And PrincipalSaturna TechLos Angeles, Ca, Us -
CtoBlueprint Mar 2024 - PresentLos Angeles, UsBuilding and exploring tools to help people understand their health and make decisions that promote longevity. -
Adjunct Assistant Professor Of ResearchKeck School Of Medicine Of The University Of Southern California Aug 2022 - PresentLos Angeles, Ca, Us -
Asst. Professor Of Research, Czi Imaging ScientistKeck School Of Medicine Of The University Of Southern California May 2021 - Aug 2022Los Angeles, Ca, UsLed a computational imaging research program at the Laboratory of Neuro Imaging (LONI) at the USC Stevens Institute for Neuroimaging and Informatics (INI) with grant support from the Chan Zuckerberg Initiative Imaging Scientist program. My projects included developing machine learning methods for neuroimage synthetic data generation, fully-automated pipelines for preclinical stroke image analytics, and investigation of cortical microstructure and connectivity of frontoinsular cortex.
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Staff Machine Learning EngineerArteraai Oct 2023 - Mar 2024Los Altos, California, UsApplied computer vision and machine learning to create AI-enabled predictive and prognostic cancer tests. Developed multimodal AI models that combined clinical information with digital pathology images of tumors using self-supervised learning and attention multiple instance learning. -
Staff Machine Learning EngineerPathai Sep 2022 - Oct 2023Boston, Massachusetts, UsBuilding computational tools to transform research, clinical development, and diagnostics using AI-powered pathology. Developed, evaluated, and integrated an additive multiple instance learning model for a HER2 breast cancer scoring RUO product. Created novel techniques for improving model interpretability and usability of algorithm products deployed in diagnostic labs. Supported the broader ML organization through mentoring, research initiatives, and digital pathology software platform stewardship. -
Postdoctoral Scholar - Research AssociateUsc Mark & Mary Stevens Neuroimaging And Informatics Institute Nov 2016 - May 2021Los Angeles, Ca, UsWorking at the Laboratory of Neuro Imaging (LONI) at the USC Stevens Institute for Neuroimaging and Informatics (INI), my research involved the development of neuroimage analysis methods and interdisciplinary collaboration with neuroscientists and clinicians to apply them in biomedical studies. My projects involved image-based quantitation of perivascular spaces, changes in brain connectivity in typical neurodevelopment, imaging of cranial nerves, and creating a workflow for preclinical rodent image analysis for a multi-center studies of post-traumatic epilepsy. -
Graduate ResearcherBrown University Computer Science Aug 2010 - May 2016Providence, Rhode Island, UsConducted applied computational research in analytics, visualization, and machine learning for human neuroimaging. My research focused on the development and evaluation of tools for modeling white matter using diffusion MRI. Through various neuroimaging studies, I designed, developed, and applied a software package called the Quantitative Imaging Toolkit (QIT). I also TA-ed the class, Virtual Reality Design for Science and I contributed to development and public outreach of the Brown YURT retina-resolution virtual reality environment. Received a Brown University Dissertation Fellowship for two years. -
Visiting Research AssistantRhode Island Hospital 3D Lab Jan 2014 - Sep 2014Providence, Ri, UsVisited the computational imaging lab at the hospital to help with various research projects for surgical planning and anatomical modeling in radiation oncology. Supported by an award from the Brown Institute for Brain Science. -
Programmer AnalystUcla Laboratory Of Neuro Imaging Aug 2006 - Jun 2010Los Angeles, Ca, UsDesigned, implemented, and deployed scalable analytic workflows for large population neuroimaging studies. I developed software and novel methods for structural brain modeling, in particular, for statistically analyzing the morphometry of cortical surfaces in the human brain. We developed a differential geometry approach for surface-based registration using sulcal landmarks. I worked on mathematical modeling, software development, and sharing our work in publications. Received a staff achievement award. -
Software EngineerService Machines Inc Oct 2005 - Jul 2006Developed machine vision software for real-time industrial automation in a novel robotics platform, including camera capture and calibration, and subsequent object detection, measurement, localization, and tracking
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Undergraduate Research AssistantCaltech Oct 2004 - May 2005Pasadena, Ca, UsAssisted with interdisciplinary computer vision research by collecting data and developing MATLAB and C software for video-based tracking and analysis of fly behavior
Ryan Cabeen Skills
Ryan Cabeen Education Details
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CaltechConcentration In Computation And Neural Systems -
Brown UniversityComputer Science
Frequently Asked Questions about Ryan Cabeen
What company does Ryan Cabeen work for?
Ryan Cabeen works for Saturna Tech
What is Ryan Cabeen's role at the current company?
Ryan Cabeen's current role is Owner and Principal.
What is Ryan Cabeen's email address?
Ryan Cabeen's email address is ry****@****usc.edu
What schools did Ryan Cabeen attend?
Ryan Cabeen attended Caltech, Brown University.
What skills is Ryan Cabeen known for?
Ryan Cabeen has skills like R, Computational Modeling, Algorithms, Neuroscience, Matlab, Image Analysis, Deep Learning, Scientific Visualization, Latex, Programming, Mathematical Modeling, C++.
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