Nathaniel Braman
Senior Director of AI at Picture Health- Claim this Profile
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Bio
Akshay Goel, M.D.
Nate’s passion for multimodality deep learning work is infectious and admirable. I have had the pleasure of working alongside Nate on multiple ML projects and data pipelines at Tempus, and his contributions, attitude, and impact have been instrumental. Nate’s ability to listen carefully to colleagues and offer thoughtful feedback has an impact on a variety of levels. Nate also takes a genuine interest in everyone’s work, making him a natural leader and team player. I gained a lot from working with Nate and know he will be an asset to future organizations that are lucky to have him.
Akshay Goel, M.D.
Nate’s passion for multimodality deep learning work is infectious and admirable. I have had the pleasure of working alongside Nate on multiple ML projects and data pipelines at Tempus, and his contributions, attitude, and impact have been instrumental. Nate’s ability to listen carefully to colleagues and offer thoughtful feedback has an impact on a variety of levels. Nate also takes a genuine interest in everyone’s work, making him a natural leader and team player. I gained a lot from working with Nate and know he will be an asset to future organizations that are lucky to have him.
Akshay Goel, M.D.
Nate’s passion for multimodality deep learning work is infectious and admirable. I have had the pleasure of working alongside Nate on multiple ML projects and data pipelines at Tempus, and his contributions, attitude, and impact have been instrumental. Nate’s ability to listen carefully to colleagues and offer thoughtful feedback has an impact on a variety of levels. Nate also takes a genuine interest in everyone’s work, making him a natural leader and team player. I gained a lot from working with Nate and know he will be an asset to future organizations that are lucky to have him.
Akshay Goel, M.D.
Nate’s passion for multimodality deep learning work is infectious and admirable. I have had the pleasure of working alongside Nate on multiple ML projects and data pipelines at Tempus, and his contributions, attitude, and impact have been instrumental. Nate’s ability to listen carefully to colleagues and offer thoughtful feedback has an impact on a variety of levels. Nate also takes a genuine interest in everyone’s work, making him a natural leader and team player. I gained a lot from working with Nate and know he will be an asset to future organizations that are lucky to have him.
Experience
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Picture Health
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United States
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Software Development
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1 - 100 Employee
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Senior Director of AI
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Nov 2021 - Present
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Tempus Labs, Inc.
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United States
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Biotechnology Research
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700 & Above Employee
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Machine Learning/Computer Vision Scientist
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Mar 2020 - Nov 2021
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Case Western Reserve University
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United States
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Higher Education
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700 & Above Employee
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Ph.D. Candidate
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Aug 2015 - May 2020
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IBM
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IT Services and IT Consulting
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1 - 100 Employee
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Graduate Research Intern
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Jun 2018 - Apr 2020
Project title: "Disease Detection in Weakly Annotated Volumetric Medical Images using a Convolutional LSTM Network" Project title: "Disease Detection in Weakly Annotated Volumetric Medical Images using a Convolutional LSTM Network"
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Center for Computational Imaging and Personalized Diagnostics (CCIPD)
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United States
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Research Services
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1 - 100 Employee
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Graduate Research Assistant
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Aug 2015 - Apr 2020
Thesis Title: “Radiogenomic and Radiopathomic tools for the prediction of neo-adjuvant chemotherapy response from pre-treatment breast MRI” Developing novel tools and techniques for noninvasive pre-treatment prediction of patient response to neo-adjuvant chemotherapy from dynamic contrast enhanced MRI (DCE-MRI) in breast cancer. Utilizing combination of deep learning and hand-crafted feature-based approach for therapeutic decision support with high clinical interpretability. Correlating imaging tools with prognostic multi-modal data (transcriptomics, proteomics, digital pathology) to establish biological basis for predictive quantitative imaging decision support platforms.
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The SyBBURE Searle Undergraduate Research Program
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United States
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Research Services
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1 - 100 Employee
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Independent Undergraduate Researcher
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Mar 2014 - Aug 2015
Developed new network-based bioinformatics tools for the identification of a toxin’s biochemical mechanism of action from large proteomic, genomic, and metabolomics datasets in under 30 days. Developed new network-based bioinformatics tools for the identification of a toxin’s biochemical mechanism of action from large proteomic, genomic, and metabolomics datasets in under 30 days.
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Undergraduate Researcher
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May 2013 - Jul 2014
Created custom software tool to process fluorescent images of brain cells 50 times faster than traditional method of manual counting. Created custom software tool to process fluorescent images of brain cells 50 times faster than traditional method of manual counting.
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Education
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Case Western Reserve University
Doctor of Philosophy (Ph.D.), Biomedical Engineering -
Vanderbilt University
Bachelor of Engineering (B.Eng.), Honors Biomedical Engineering
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