Nate Sutton Email & Phone Number
@gmu.edu
LinkedIn matched
Who is Nate Sutton? Overview
A concise factual answer block for searchers comparing this professional profile.
Nate Sutton is listed as Postdoctoral Researcher at Brandeis University, based in Fairfax County, Virginia, United States. AeroLeads shows a work email signal at gmu.edu and a matched LinkedIn profile for Nate Sutton.
Nate Sutton previously worked as Research Assistant at George Mason University and Remote Services Technician at Support.Com. Nate Sutton holds Doctor Of Philosophy (Ph.D.), Bioengineering - Neurotech & Computational Neuroscience Concentration, 4.0/4.0 from George Mason University.
Email format at Brandeis University
This section adds company-level context without repeating Nate Sutton's masked contact details.
AeroLeads found 1 current-domain work email signal for Nate Sutton. Compare company email patterns before reaching out.
About Nate Sutton
I recently earned a Ph.D. in Bionegineering with a concentration in Neurotechnology and Computational Neuroscience. I have been involved in multiple forms of Computational Neuroscience research during and before the degree. I continue to work on that research as I apply for post-doc positions. Some of my interest areas include computational modeling, spiking neural networks and other networks, sensory perception, spatial navigation, learning and memory, and processing electrophysiology recordings big data. You are welcome to view some of my research at NSutton.com. My diversity of software development in languages and technologies, degrees related to Computational Neuroscience and Computational Biology, biological knowledge of neuroscience and psychology, mathematical skills gained from statistics and calculus related courses, and working with machine learning algorithms combine to assist me in my work.For many years I have worked on Computational Neuroscience and Computational Biology research projects. I have analyzed big neural and biomedical data (e.g., genetics) through optimizing software design, working with a variety of statistical techniques, and integrating well with apis, libraries, and other code. In terms of programming I have worked with multiple compiled and interpreted languages but am strongest in C++, Java, and Python. I am a full stack developer and I have done both frontend web development including javascript, PHP, and CSS, and backend development with database integration, web frameworks, and test suites. See my Github page for examples: github.com/nmsutton. See my Google Scholar page for my publications: scholar.google.com/citations?hl=en&user=5-UnxssAAAAJ.
Listed skills include Machine Learning, Matlab, Python, C++, and 34 others.
Nate Sutton's current company
Company context helps verify the profile and gives searchers a useful next step.
Nate Sutton work experience
A career timeline built from the work history available for this profile.
Remote Services Technician
Mazerunner: Rodent Spatial Memory Simulation
A model of grid and place cells, and theta rhythms will be implemented based on published models such as attractor networks for spatial awareness. A state of the art game engine, Unreal Engine 4, is used to simulate the maze and many experiment expansion possibilities exist, such as a water maze. In vivo rodent recordings and neurological properties are planned to be fit into the model to train it with a ground truth. New theories can emerge from altering the parameters. github.com/nmsutton/MazeRunner
3D Graphical Simulation Of Biophysics, Open Worm Project
Using C++, OpenCL, and Python OpenGL code was created to import 3d models from blender and generate a physics simulation of their activity. Signal recordings are reformatted to use them for processing control over muscle actuation of physics simulated models. Existing code was expanded on and collaborative discussions with original developers were done to advance the work. tinyurl.com/OWContrib
Memory Module: Hippocampus Neural Network Simulation
Experimental recordings from rat hippocampus areas were modeled in a spiking neural network, GPU computing with CARLSim and synapse weight optimization were included. Izhikevich neurons used pyramidal parameters. Future plans include reinforcement learning. Tinyurl.com/MemoryMod
Visual Receptor Fields 3D Simulation
Center-surround and other fields generating firing responses to image patterns were simulated with equations including the Gabor filter and differences of Gaussians. Custom C++ graphics created 3d images or videos of space-time fields and stimuli change over time in fields. Tinyurl.com/ViReFields
Reinforcement Learning With Spiking Neural Networks
• Reimplimented simulation based on published work. Project: Tinyurl.com/snnrl• Image based classification of characters was performed using Python. • In collaboration with another individual who holds a master’s and works in computational neuroscience. STDP: Pre and post-synapse spikes modified synapse strength. Active Dendrites and Direct to Soma Neuron Dynamics: Detailed neuron characteristics with signal processing. Lateral Inhibition: Neuron interconnections created competition for spike propagation. Learning Rate: A first layer of integrate-and-fire neurons were translated into second layer spikes with specific learning rates and resistance factors. Neuroscience Toolkit: Brian 2 code integrated.
Emotion Neuropsychology Experiment Software Development
• Existing code was expanded on to present images as emotion stimulus with precise timing, format, and multiple randomization methods. • Subjects’ keypress reactions were recorded.• Data and metadata was stored to accommodate analysis of synchronized neural image recordings.• In collaboration with a postdoc at MIT, Cambridge, MA. Conference Poster: Tinyurl.com/Bcscbmm
Research Assistant
Java programming using original code, open source programs, and reimplemented programs for research in auto extraction of gene and drug interaction text descriptions. A part of the overall 14 month project involved me providing web application support, writing guides including training for that, and in person training of using a web application.• A large science article database was automatically processed to extract and randomly select sentences containing genes and drugs.• Open source modules were integrated including JDom for XML, a database API, and English language processing tools.• The software was optimized for statistical analyses with an open source machine learning tool.• Lead and trained a team of coworkers to generate datasets used in the project, the work was refined over time based on coworker feedback.• The work was published in a science conference at http://www.aclweb.org/anthology/W12-2427
Web Site Creator
Constructed a science conference website with html, css, and graphics design. The site integrated web applications from Google and Zoho.com and included a registration payment system. Included features such as user form input conversion to email and file repository.
Java Software Developer
Contributed to a genetic microarray image analysis program using Java and Support Vector Graphics. Optimizations were found for efficiently batch processing the datasets that were used. Image data matrices were processed for pattern recognition and the results included image output.
Biological Lab Technician
Preservation of hematopoietic umbilical stem cells. Umbilical blood was extracted from kits sent from cooperating hospitals. The blood was processed into the cell types that can be used for transplants.
Environmental Lab Technician
Nate Sutton education
Doctor Of Philosophy (Ph.D.), Bioengineering - Neurotech & Computational Neuroscience Concentration, 4.0/4.0
Master Of Science (M.S.), Biomedical Informatics, 3.98/4.00
Bachelor Of Science (B.S.), Biology
Frequently asked questions about Nate Sutton
Quick answers generated from the profile data available on this page.
What company does Nate Sutton work for?
Nate Sutton works for Brandeis University.
What is Nate Sutton's role at Brandeis University?
Nate Sutton is listed as Postdoctoral Researcher at Brandeis University.
What is Nate Sutton's email address?
AeroLeads has found 1 work email signal at @gmu.edu for Nate Sutton at Brandeis University.
Where is Nate Sutton based?
Nate Sutton is based in Fairfax County, Virginia, United States while working with Brandeis University.
What companies has Nate Sutton worked for?
Nate Sutton has worked for Brandeis University, George Mason University, Support.Com, Self Funded, and Arizona State University.
How can I contact Nate Sutton?
You can use AeroLeads to view verified contact signals for Nate Sutton at Brandeis University, including work email, phone, and LinkedIn data when available.
What schools did Nate Sutton attend?
Nate Sutton holds Doctor Of Philosophy (Ph.D.), Bioengineering - Neurotech & Computational Neuroscience Concentration, 4.0/4.0 from George Mason University.
What skills is Nate Sutton known for?
Nate Sutton is listed with skills including Machine Learning, Matlab, Python, C++, Computational Neuroscience, Programming, Biological Neural Networks, and Calculus.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trialCheck these profiles if this is not the Nate Sutton you were looking for.
View similar profiles