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Daniel Huff is listed as Clinical Research Scientist @ GE HealthCare | Molecular Imaging and Theranostics at GE HealthCare, based in Greater Seattle Area, United States. AeroLeads shows a work email signal at washington.edu and a matched LinkedIn profile for Daniel Huff.
Daniel Huff previously worked as Clinical Research Scientist at Ge Healthcare and Research Scientist at Aiq Solutions. Daniel Huff holds Doctor Of Philosophy - Phd, Medical Physics from University Of Wisconsin-Madison.
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Medical Physics PhD with eight years' background in quantitative medical imaging. Experience with designing rigorous experiments to achieve publication or product goals. Excellent oral and written communication skills with experience writing for technical, clinical, and regulatory audiences. Passionate about writing readable and maintainable code to support reproducible science. Domain expert in molecular imaging (PET, SPECT, CT).Degrees: PhD Medical Physics, BS Physics and AstronomyFocuses: Quantitative Imaging, Imaging Biomarkers, Deep Learning, Machine Learning, Computer Vision, Image Segmentation, Detection, Feature Extraction, Clinical TrialsTools: Python (pytorch, SimpleITK, skimage, scikit-learn, pandas, pydicom), MATLAB, 3DSlicer, git, LinuxInterests: Survey Astronomy, PC Building, Backpacking, Gardening
Listed skills include Physics, Mathematics, Matlab, Image Analysis, and 22 others.
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Chicago, Us
As a member of the Research and Scientific Affairs team, I facilitate collaborations between GE HealthCare and academic investigators conducting research in targeted radioligand therapies using GE's PET, SPECT, or radiopharmacy products.I Interact directly with key opinion leaders to develop and execute research projects in alignment with GE HealthCare's strategic research needs.
Madison, Wisconsin, Us
AIQ is an imaging biomarker company providing unique intelligence about heterogeneity of treatment response in patients with complex disease. Proposed, designed, and executed a multi-reader study comparing AIQ's technology to nuclear medicine physician performance. First-authored a publication describing our findings ten months after project was pitched. This publication supported AIQ's FDA 510(k) device submission.Led the drafting of the Research Strategy for a successful Phase II SBIR grant ($2MM) focused on developing software tools for guiding radioligand therapy.Overhauled a core production algorithm for matching regions of interest between two PET/CT or CT scans, improving accuracy by 30% and speed by 50%. Coordinated code hand-off from Science to Engineering team, and ensured code quality and test coverage.Succeeded in a remote work environment, regularly communicating with coworkers across the US, and in Australia, the UK, and China.
Madison, Wi, Us
Conducted prior art searches for on-campus faculty inventors to assess patentability and licensing prospects of novel medical imaging technologies.Represented WARF at on-campus and virtual events related to technology transfer.
Madison, Wi, Us
Dept of Medical PhysicsAdvisor: Robert JerajThesis title: Towards a Risk-Benefit Optimized Clinical Decision Support Framework in Immune-Checkpoint Inhibitor-Treated Metastatic MelanomaCollected, organized, and processed multiple PET/CT datasets totaling 1000+ patient images.Trained and evaluated CNNs for segmentation of 8 organs on CT achieving SotA performance. Developed methodology for immunotherapy toxicity monitoring on PET/CT resulting in a patent.Established DL computing infrastructure for 8-member research team (3 GPU-equipped workstations, ~$15k).Awarded NIH T32 Radiological Sciences Training Grant fellowship (12-mo/yr support, 2018-2022).Led successful grant application to NVIDIA GPU hardware grant ($2k).
Bellevue, Washington, Us
Worked with students from 6th to 12th grade in Algebra, Precalculus, AP Calculus, and AP PhysicsSupported individual student and groups of up to 5 in lessons ranging from 1 to 3 hours longPrepared students for standardized tests, assisted with students' classwork, developed personalized lesson plans, and designed subject curricula.
Seattle, Wa, Us
Proctored 80 minute long exam reviews for up to 30 advanced undergraduates 2-3 times a quarter in a lecture settingTutored all levels of undergraduate students in physics in one-on-oneand small group settings for five hours a night, two nights a week.
Design and generation of PET image simulations using SimSET, a package which uses Monte Carlo techniques to model the physical processes and instrumentation used in emission imaging.Analysis and visualization of PET scanner simulation data using Python's numPy and Matplotlib packages.
Seattle, Wa, Us
Performed and analyzed Monte Carlo simulations of proton beam experiments with TOPAS, a Monte Carlo toolkit built on Geant4.Designed and executed experiments on a research proton beam line including ion chamber readings and radiochromic film exposures.
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Daniel Huff works for GE HealthCare.
Daniel Huff is listed as Clinical Research Scientist @ GE HealthCare | Molecular Imaging and Theranostics at GE HealthCare.
AeroLeads has found 1 work email signal at @washington.edu for Daniel Huff at GE HealthCare.
Daniel Huff is based in Greater Seattle Area, United States while working with GE HealthCare.
Daniel Huff has worked for Ge Healthcare, Aiq Solutions, Wisconsin Alumni Research Foundation (Warf), University Of Wisconsin-Madison, and Bellevue Learning Center.
You can use AeroLeads to view verified contact signals for Daniel Huff at GE HealthCare, including work email, phone, and LinkedIn data when available.
Daniel Huff holds Doctor Of Philosophy - Phd, Medical Physics from University Of Wisconsin-Madison.
Daniel Huff is listed with skills including Physics, Mathematics, Matlab, Image Analysis, Python, Programming, Research, and Machine Learning.
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