Josh Squires Email
Chief Scientist and ML Researcher @ The Johns Hopkins University Applied Physics Laboratory
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Josh Squires Location
- Baltimore, MD, US
Josh Squires Work
- Chief Scientist and ML Researcher @ (December 2019 - Present)
- Graduate Researcher and Teaching Assistant @ (August 2014 - August 2019)
- Undergraduate Researcher @ (January 2012 - January 2014)
- Visiting Researcher @ (June 2013 - June 2013)
Josh Squires Education
- Cornell University
Doctor of Philosophy - PhD
2014-2019 - University of Connecticut
Bachelor of Science - BS
2010-2014 - Cornell University
Master of Science - MS
2017 - The Johns Hopkins University
Master of Science - MS
2023
Josh Squires Skills
- Graph Neural Networks (GNN)
- Artificial Intelligence (AI)
- C++
- Computer Science
- Convolutional Neural Networks (CNN)
- Data Analysis
- Data Science
- Data Visualization
- Deep Learning
- Deep Neural Networks (DNN)
- Deep Reinforcement Learning
- Fortran
- Graph Algorithms
- Graph Theory
- Julia
- Jupyter
- Keras
- LaTeX
- Machine Learning
- Mathematica
- Matlab
- Matplotlib
- Multi-agent Systems
- NumPy
- Optimization
- Proposal Writing
- PyTorch
- Python
- R
- Recurrent Neural Networks (RNN)
- Reinforcement Learning
- SQL
- Scikit-Learn
- Seaborn
- Shell Scripting
- Statistical Data Analysis
- Statistics
- TensorFlow
- Time Series Forecasting
- pandas
Josh Squires Summary
- Josh Squires, based in Baltimore, MD, US, is currently a Chief Scientist and ML Researcher at The Johns Hopkins University Applied Physics Laboratory. Josh Squires brings experience from previous roles at Cornell University, University of Connecticut and Center for Astrophysics | Harvard & Smithsonian. Josh Squires holds a 2014 - 2019 Doctor of Philosophy - PhD @ Cornell University. With a robust skill set that includes Graph Neural Networks (GNN), Artificial Intelligence (AI), C++, Computer Science, Convolutional Neural Networks (CNN) and more. Josh Squires has 1 emails on RocketReach.
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