Nate Sutton
AeroLeads people directory · profile

Nate Sutton Email & Phone Number

Postdoctoral Researcher at Brandeis University
Location: Fairfax County, Virginia, United States 14 work roles 3 schools
1 work email found @gmu.edu LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email n****@gmu.edu
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Postdoctoral Researcher
Location
Fairfax County, Virginia, United States

Who is Nate Sutton? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

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.

Company email context

Email format at Brandeis University

This section adds company-level context without repeating Nate Sutton's masked contact details.

{first_initial}{last}@gmu.edu
86% confidence

AeroLeads found 1 current-domain work email signal for Nate Sutton. Compare company email patterns before reaching out.

Profile bio

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.

Current workplace

Nate Sutton's current company

Company context helps verify the profile and gives searchers a useful next step.

Brandeis University
Brandeis University
Postdoctoral Researcher
Virginia, United States
AeroLeads page
14 roles

Nate Sutton work experience

A career timeline built from the work history available for this profile.

Research Assistant

Current

Fairfax, Va

Working on computational neuroscience research

Aug 2019 - Present

Remote Services Technician

Surrounding Boston Area, Ma

Apr 2014 - Aug 2019

Mazerunner: Rodent Spatial Memory Simulation

Self Funded

Cambridge, Ma

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

Jul 2017 - Oct 2018

3D Graphical Simulation Of Biophysics, Open Worm Project

Self Funded

Cambridge, Ma

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

Apr 2016 - Dec 2016

Memory Module: Hippocampus Neural Network Simulation

Self Funded

Tinyurl.Com/Memorymod

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

Sep 2015 - Jul 2016

Visual Receptor Fields 3D Simulation

Self Funded

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

Jun 2015 - Dec 2015

Reinforcement Learning With Spiking Neural Networks

Self Funded

Cambridge, Ma

• 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.

Jul 2014 - Jul 2015

Emotion Neuropsychology Experiment Software Development

Self Funded

Cambridge, Ma

• 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

Oct 2014 - Feb 2015

Research Assistant

Arizona State University

Phoenix, Arizona

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

Jan 2011 - Aug 2011

Web Site Creator

Arizona State University

Phoenix, Arizona

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.

May 2010 - Oct 2010

Java Software Developer

Arizona State University

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.

Apr 2010 - May 2010

Biological Lab Technician

Tucson, Arizona

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.

Aug 2006 - Jun 2009

Environmental Lab Technician

Speedie And Associates

Phoenix, Arizona

Mar 2006 - Aug 2006
3 education records

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

Activities and Societies: Bioscience Ethics Club

Bachelor Of Science (B.S.), Biology

Quinnipiac University
FAQ

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.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.

People with similar names

Check these profiles if this is not the Nate Sutton you were looking for.

View similar profiles