プロフィール詳細

プロジェクトを作成

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Dr. Gage D.に依頼

United States

Princeton PhD Researcher/Lecturer in Physics and Artificial Intelligence

プロフィール概要

Hi, I’m Dr. Gage DeZoort — a researcher focused on applying cutting-edge artificial intelligence techniques to scientific discovery. I bring a sharp eye for detail and a deep familiarity with making complex technical material clear, elegant, and human. I specialize in: - Proofreading and editing scientific and technical writing, especially for researchers and non-native English speakers - Helping scholars and professionals refine their voice while preserving intent and precision - Providing calm, thoughtful guidance through the writing and publication process - Assessing and improving educational materials, with a focus on clarity and accessibility Whether you're preparing a journal article, refining a research proposal, or crafting a long-form essay, I offer attentive, confidential, and insight-driven editing designed to bring out your best work. I’m currently accepting select clients for editing and review work. If clarity, collaboration, and trust matter to you, I’d be honored to help.

専門分野

• ☆ Data Analysis
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Machine Learning
• ☆ Neural Networks
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Applied Mechanics
• ☆ Particle Physics
• ☆ Computational Physics
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Mathematics Education
• ☆ Computational Sciences
• ☆ Technical & Scientific Writing
• ☆ Manuscript & Journal Article Writing
• ☆ Instructional Materials
• ☆ SOP & Protocol Writing
• ☆ Science Communication
• ☆ Scientific Proofreading & Editing
• ☆ Proofreading & Editing
• ☆ Creative Writing

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing, Creative Writing, General Proofreading & Editing

Research Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Algorithm Design-ML

職務経験

Postdoctoral Researcher and Lecturer in Physics

Princeton Univ

9月 2023 - 現在

Postdoctoral Researcher

Princeton University

8月 2023 - 現在

学歴

Ph.D. (Physics)

Princeton University

9月 2018 - 8月 2023

B.S. in Physics (Distinguished Major) and Engineering Science (Physics)

University of Virginia

8月 2014 - 5月 2018

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Gage DeZoort, Boris Hanin (2025). Principles for Initialization and Architecture Selection in Graph Neural Networks with ReLU Activations . SIAM Journal on Mathematics of Data Science.

Gage DeZoort, Peter W. Battaglia, Catherine Biscarat, Jean-Roch Vlimant (2023). Graph neural networks at the Large Hadron Collider . Nature Reviews Physics.

Gage DeZoort, Savannah Thais, Javier Duarte, Vesal Razavimaleki, Markus Atkinson, Isobel Ojalvo, Mark Neubauer, Peter Elmer(2021). Charged Particle Tracking via Edge-Classifying Interaction Networks . Computing and Software for Big Science. 5. (1). Springer Science and Business Media {LLC}

PREPRINT

(2021). Charged particle tracking via edge-classifying interaction networks.

(2021). Instance Segmentation GNNs for One-Shot Conformal Tracking at the LHC. Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020), Vancouver, Canada.

(2020). Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs. Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020), Vancouver, Canada.

(2018). Search for black holes and sphalerons in high-multiplicity final states in proton-proton collisions at $\sqrt{s} =$ 13 TeV . JHEP 11 (2018) 042.

(2015). Performance of Wavelength-Shifting Fibers for the Mu2e Cosmic Ray Veto Detector.