AeroLeads people directory · profile

John Edmiston Email & Phone Number

Software Engineering | Data Science | Product Engineering at Cognitive Space
Location: Berkeley, California, United States 10 work roles 3 schools
1 work email found @cognitivespace.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email j****@cognitivespace.com
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Software Engineering | Data Science | Product Engineering
Location
Berkeley, California, United States

Who is John Edmiston? Overview

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

Quick answer

John Edmiston is listed as Software Engineering | Data Science | Product Engineering at Cognitive Space, based in Berkeley, California, United States. AeroLeads shows a work email signal at cognitivespace.com and a matched LinkedIn profile for John Edmiston.

John Edmiston previously worked as Senior Scientific Software Engineer at Cognitive Space and Staff Data Scientist at Iterative Scopes. John Edmiston holds Doctor Of Philosophy (Ph.D.), Mechanical Engineering from University Of California, Berkeley.

Company email context

Email format at Cognitive Space

This section adds company-level context without repeating John Edmiston's masked contact details.

{first}.{last}@cognitivespace.com
86% confidence

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

Profile bio

About John Edmiston

I enjoy applying a background in dealing with scientific computing to the modern data landscape. I have uploaded several pieces of work from past work in solid mechanics in the media section of this summary.

Listed skills include Matlab, Continuum Mechanics, Mechanical Engineering, Python, and 28 others.

Current workplace

John Edmiston's current company

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

Cognitive Space
Cognitive Space
Software Engineering | Data Science | Product Engineering
AeroLeads page
10 roles

John Edmiston work experience

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

Senior Scientific Software Engineer

Current

Houston, Tx, Us

Developed solutions to satellite mission planning, including tasking and comms, as part of a SaaS product.

Oct 2022 - Present

Staff Data Scientist

Cambridge, Massachusetts, Us

- Deployed video-data based PyTorch CNN to improve pipeline efficiency using AWS Batch- Developed POC and architecture test suite for cloud based real time inference application

Dec 2021 - Sep 2022

Staff Data Scientist

Hoboken, Nj, Us

Developed POCs for incubator arm, centered on a nutrition product.

May 2021 - Dec 2021

Senior Data Scientist, Quality

Emeryville, California, Us

Developed in house MES for task scheduling and recording tool (Flask application) to record data from production operators. Scheduling included accounting for physical location, time, and worker shift information. System centralized the labeling and storage of multiple sources of data including photos, multiple choice questions, and democratized data streams across functions. Made MVP and successfully cut over to production architecture. Utilized GCP Pub/Sub for IoT edge communications with several hardware devices. Developed logging system for multiple Raspberry Pi sensor devices, including automatic setup from cold start and rolling out software updates to all devices. Used GCP methods like PubSub, Cloud functions, Celery to perform tasks asynchronously and keep application responsive.Digitization efforts led to 30% improvement in per-worker productivity, and 225% increase in total managed capacity.Hardware/software IOT system designer and builder, a multi-measurement computer vision based system, sensor logging architecture, machine learning on sheet quality using GCP Pub/Sub, Celery, Javascript/D3.js, Docker

Jun 2019 - May 2021

Senior Data Scientist

Redwood City, Ca, Us

Developed software to combine/munge data streams (lab records, EHR) from multiple clinical providers for candidate selection.

Jan 2019 - Jun 2019

Data Scientist

San Francisco, California, Us

Aggregation and reporting of usage data for business performance. Developed pipelines and munging in Python/R. Analyzed performance of experiments via multilevel hierarchical models. Efforts to automate reporting functions resulted in serving as the only data hire during the first rapid growth phase (from Series A-B).

Jan 2018 - Jan 2019

Mechanical/Structural Analyst

Livermore, Ca, Us

- Managing FEM simulations on HPC Linux clusters with Python/Bash scripting- Developed custom post processing scripts with VTK/Visit/Python/MPI- Meshing complex CAD geometries with CUBIT, including Python scripting

Oct 2015 - Jan 2018

Postdoctoral Fellow - Geomechanics

Berkeley, Ca, Us

Developing modeling and simulation capabilities for coupled flow and deformation in porous materials. These include finite element methods for geomechanics using ROCMECH, with porous flow computation using the TOUGH family of codes. I am also working on a geoperidynamics implentation for fracture propagation problems. Coding environment: Fortran77, Fortran90, Fortran2003, C, C++, PythonLibraries: PETScFor a commonly demonstrated example for basic peridynamics see a simulation video I uploaded at https://youtu.be/Arh4YuTbj7IFor multiphysics see my implementation of the Element Free Galerkin for the Terzaghi consolidation problem. https://www.youtube.com/watch?v=s5OCsctwRNg&feature=youtu.be

Aug 2013 - Oct 2015

Project Engineer

Symplectic Engineering Corporation

Research and develop numerical meshfree methods for large deformation, high velocity impact simulation. Developed novel stabilization scheme for MLSPH method. Implemented parallelization using OpenMP and MPI. Code development: C++ for simulations, post processing using Python/SciPy/NumPy/Matplotlib.

Jun 2012 - Jun 2013

Lawrence Scholar

Livermore, Ca, Us

Developed uncertainty quantification approach for X-ray diffraction analysis of individual grains in a polycrystal. Constructed a model and alternative constitutive framework for single crystal plasticity, with calibration to data. Code development for X-ray diffraction data analysis: Python/NumPy/SciPy/C++ hybrid code via Boost.Python.See the attachments below for draft publications from this time period.

Mar 2009 - May 2012
3 education records

John Edmiston education

Doctor Of Philosophy (Ph.D.), Mechanical Engineering

University Of California, Berkeley

Master Of Science (M.S.), Mechanical Engineering

University Of Wisconsin-Madison

Bachelor Of Science (B.S.), Mechanical Engineering

University Of Minnesota
FAQ

Frequently asked questions about John Edmiston

Quick answers generated from the profile data available on this page.

What company does John Edmiston work for?

John Edmiston works for Cognitive Space.

What is John Edmiston's role at Cognitive Space?

John Edmiston is listed as Software Engineering | Data Science | Product Engineering at Cognitive Space.

What is John Edmiston's email address?

AeroLeads has found 1 work email signal at @cognitivespace.com for John Edmiston at Cognitive Space.

Where is John Edmiston based?

John Edmiston is based in Berkeley, California, United States while working with Cognitive Space.

What companies has John Edmiston worked for?

John Edmiston has worked for Cognitive Space, Iterative Scopes, Store No. 8, Mycoworks, and Proteus Digital Health, Inc.

How can I contact John Edmiston?

You can use AeroLeads to view verified contact signals for John Edmiston at Cognitive Space, including work email, phone, and LinkedIn data when available.

What schools did John Edmiston attend?

John Edmiston holds Doctor Of Philosophy (Ph.D.), Mechanical Engineering from University Of California, Berkeley.

What skills is John Edmiston known for?

John Edmiston is listed with skills including Matlab, Continuum Mechanics, Mechanical Engineering, Python, Labview, C++, Fluid Mechanics, and Peridynamics.

Find 750M verified contacts

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