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Grant Grubb Email & Phone Number

Team Lead - Behavioural Algorithms at Seeing Machines
Location: Canberra, Australian Capital Territory, Australia 6 work roles 3 schools
1 work email found @seeingmachines.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Work email g****@seeingmachines.com
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Current company
Seeing Machines
Role
Team Lead - Behavioural Algorithms
Location
Canberra, Australian Capital Territory, Australia
Company size
276 employees

Who is Grant Grubb? Overview

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Quick answer

Grant Grubb is listed as Team Lead - Behavioural Algorithms at Seeing Machines, a with 276 employees, based in Canberra, Australian Capital Territory, Australia. AeroLeads shows a work email signal at seeingmachines.com and a matched LinkedIn profile for Grant Grubb.

Grant Grubb previously worked as Team Lead - Algorithm Development at Seeing Machines and Senior Research Engineer at Seeing Machines, Inc.. Grant Grubb holds M Philosophy, Computer Vision from The Australian National University.

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Email format at Seeing Machines

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{first}.{last}@seeingmachines.com
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Profile bio

About Grant Grubb

Grant Grubb is a Team Lead - Behavioural Algorithms at Seeing Machines. He possess expertise in image processing, machine learning, matlab, software development, c++ and 7 more skills.

Listed skills include Image Processing, Machine Learning, Matlab, Software Development, and 8 others.

Current workplace

Grant Grubb's current company

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Seeing Machines
Seeing Machines
Team Lead - Behavioural Algorithms
canberra, act, australia
Website
seeingmachines.com
Employees
276
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6 roles

Grant Grubb work experience

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Team Lead - Behavioural Algorithms

Current
Seeing Machines

Team lead for the behavioural algorithm development activities.

Feb 2023 - Present

Team Lead - Algorithm Development

Seeing Machines

Canberra, Australian Capital Territory, Australia

Team lead for the algorithm development activities.

Aug 2021 - Feb 2023

Senior Research Engineer

Seeing Machines, Inc.

Canberra, Australia

Algorithmic development of Seeing Machines' core technology for driver monitoring.Seeing Machines is a world leader in the development of computer vision related technologies that help machines understand people by tracking and interpreting human faces and eyes.Across the world at any hour our technology is keeping drivers and others safe from the potentially fatal consequences of driving or operating machinery and systems while drowsy or distracted. Real-time monitoring and intervention by Seeing Machines' technology stops accidents from happening. Find out more at www.seeingmachines.com and follow us on Twitter @seeingmachines.

Jan 2013 - Aug 2021

Research Engineer

Volvo Group Trucks Technology / Advanced Technology & Research

Gothenburg, Sweden

Developing advanced driver assistance systems for Volvo trucks, buses and construction equipment. Focus is on sensor systems (particularly cameras and image processing), and sensor data fusion to support the assistance functions.

Jan 2012 - Jan 2013

Systems Engineer

Volvo Technology

Gothenburg, Sweden

Developing driver assistance systems for Volvo trucks, buses and construction equipment.

Sep 2008 - Dec 2011

Research Engineer

Seeing Machines

Canberra, Australia

Research and develop image processing techniques for human face, gaze and expression tracking. This has a wide range of applications including driver monitoring, human machine interfaces and behavioural studies.Specifically my role was in developing 2D and 3D image processing techniques, numerical estimation, and machine learning (SVM, Adaboost) to detect, localise and track human faces, and its various features (gaze, facial expressions).

Oct 2003 - Sep 2008
Team & coworkers

Colleagues at Seeing Machines

Other employees you can reach at seeingmachines.com. View company contacts for 276 employees →

CS Chanop Silpa-Anan Chanop Silpa-Anan Colleague at Seeing MachinesSydney, New South Wales, Australia View → SD Susie Deschenes Susie Deschenes Colleague at Seeing MachinesUnited States View → DW David Wisemantel David Wisemantel Colleague at Seeing MachinesGreater Sydney Area, Australia View → AI Ariel Ibayan Ariel Ibayan Colleague at Seeing MachinesMelbourne, Victoria, Australia View → KG Kanishka Goyal Kanishka Goyal Colleague at Seeing MachinesCanberra, Australian Capital Territory, Australia View → AB Andres Becerra Andres Becerra Colleague at Seeing MachinesChile View → DE Danny Edmunds Danny Edmunds Colleague at Seeing MachinesCanberra, Australian Capital Territory, Australia View → CG Cameron Gage Cameron Gage Colleague at Seeing MachinesMelbourne, Victoria, Australia View → LB Lydia Blick Lydia Blick Colleague at Seeing MachinesRocklea, Queensland, Australia View → DF David Franze` David Franze` Colleague at Seeing MachinesNew South Wales, Australia View →
3 education records

Grant Grubb education

M Philosophy, Computer Vision

The Australian National University

Activities and Societies: Developing a system for automotive pedestrian detection using stereo vision algorithms.

FAQ

Frequently asked questions about Grant Grubb

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

What company does Grant Grubb work for?

Grant Grubb works for Seeing Machines.

What is Grant Grubb's role at Seeing Machines?

Grant Grubb is listed as Team Lead - Behavioural Algorithms at Seeing Machines.

What is Grant Grubb's email address?

AeroLeads has found 1 work email signal at @seeingmachines.com for Grant Grubb at Seeing Machines.

Where is Grant Grubb based?

Grant Grubb is based in Canberra, Australian Capital Territory, Australia while working with Seeing Machines.

What companies has Grant Grubb worked for?

Grant Grubb has worked for Seeing Machines, Seeing Machines, Inc., Volvo Group Trucks Technology / Advanced Technology & Research, and Volvo Technology.

Who are Grant Grubb's colleagues at Seeing Machines?

Grant Grubb's colleagues at Seeing Machines include Chanop Silpa-Anan, Susie Deschenes, David Wisemantel, Ariel Ibayan, and Kanishka Goyal.

How can I contact Grant Grubb?

You can use AeroLeads to view verified contact signals for Grant Grubb at Seeing Machines, including work email, phone, and LinkedIn data when available.

What schools did Grant Grubb attend?

Grant Grubb holds M Philosophy, Computer Vision from The Australian National University.

What skills is Grant Grubb known for?

Grant Grubb is listed with skills including Image Processing, Machine Learning, Matlab, Software Development, C++, Automotive Engineering, R&D, and Algorithm Development.

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