Peyton Rose Email & Phone Number

Charlottesville, Va, Us

San Francisco Bay Area

-- Used Flask to build a web app which classifies tissue slide frame images as normal or metastatic.-- Trained a logistic regression classifier using scikit-learn to automatically identify metastatic tissue in histological slides.-- Implemented computer vision algorithms with OpenCV to identify key features in slide frame images.-- Re-purposed the convolutional neural network, Inception-v3, using transfer learning methods with TensorFlow, to construct features capable of distinguishing between normal and metastatic tissue.

-- Used cluster and grid computing methods for analyzing multi-terabyte datasets from the Large Hadron Collider (LHC) to study fundamental particle interactions at the energy frontier.-- Designed an analysis using statistical and multivariate techniques to measure properties of the Higgs boson and set limits on the rate of Higgs boson decays to bottom quarks.-- Contributed to, and maintained an analysis framework shared by over 40 developers across 15 analyses, which performed calibrations, selections, and bookkeeping for both real and Monte Carlo data. -- Provided support and upgrades for the ATLAS SemiConductor Tracker, an essential subdetector for measuring the trajectories of particles at the LHC.

Doctor Of Philosophy (Phd), Elementary Particle Physics

Bachelor Of Science (Bs), Physics