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Derek Phillips Email & Phone Number

Head of Perception Engineering at Kodiak Robotics at Kodiak Robotics
Location: United States, United States, United States 8 work roles 2 schools
1 work email found @kodiak.ai LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Work email d****@kodiak.ai
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Current company
Role
Head of Perception Engineering at Kodiak Robotics
Location
United States, United States, United States

Who is Derek Phillips? Overview

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Quick answer

Derek Phillips is listed as Head of Perception Engineering at Kodiak Robotics at Kodiak Robotics, based in United States, United States, United States. AeroLeads shows a work email signal at kodiak.ai and a matched LinkedIn profile for Derek Phillips.

Derek Phillips previously worked as Head of Perception Engineering at Kodiak Robotics and Graduate Research Assistant - Stanford Intelligent Systems Laboratory at Stanford University. Derek Phillips holds Master Of Science - Ms, Computer Science from Stanford University.

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Email format at Kodiak Robotics

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{first}@kodiak.ai
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Profile bio

About Derek Phillips

I enjoy researching and implementing groundbreaking ideas on the cutting edge of Artificial Intelligence to address real world problems. I move fast and thrive in ambiguity, where I can bring some order to the chaos and get “stuff” done.I am always looking for more ways to give back to the community, especially by helping underrepresented minorities get involved with STEM. Reach out!

Listed skills include Python, C++, C, and Machine Learning.

Current workplace

Derek Phillips's current company

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Kodiak Robotics
Kodiak Robotics
Head of Perception Engineering at Kodiak Robotics
AeroLeads page
8 roles

Derek Phillips work experience

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

Head Of Perception Engineering

Current

Mountain View, California, US

Staff software engineer As the head of perception engineering team at Kodiak, I oversee the development of advanced sensor fusion and tracking systems for the Kodiak Driver. We take raw sensor data and create a machine and human interpretable representation of the environment that enables safe and reliable autonomous operations. We leverage both learned.

May 2019 - Present

Graduate Research Assistant - Stanford Intelligent Systems Laboratory

Stanford, CA, US

Graduate Research Assistant - Stanford Intelligent Systems Laboratory, working on risk characterization of human drivers, broadly categorized as Imitation and Prediction.* Generative Adversarial Imitation Learning to create state-of-the-art human driver models. - Parameter Sharing to extend to multi-agent application (IROS 2018.

Jan 2018 - Apr 2019

Autonomous Vehicle Software Engineering Intern - Lyft Level 5

San Francisco, CA, US

Worked on the perception team: developed, improved, and adapted advanced deep learning object detection networks to run in real-time, with a focus on performance in the safety critical automotive environment (TensorFlow, Python, C++).Ownership over design and implementation of tools automating data collection and curation, and model testing (Python.

Jun 2018 - Sep 2018

Software Engineering Intern

Implemented a feature for candidate recommendation system to expose model reasoning to system users.Built a system to analyze our logistic regression model and effectively extract important features (C++, Python, SQL).Displayed the most significant model features to users in human-readable form (Python, SQL, GraphQL, React, PHP).Analyzed the model to.

Jun 2017 - Sep 2017

Undergraduate Researcher - Stanford Intelligent Systems Laboratory

Stanford, CA, US

Implemented Long Short Term Memory Recurrent neural networks (LSTM) using TensorFlow to improve driver intention prediction.Compared classification performance of LSTM, Multilayer Perceptron, and a Bayesian Network (used Python and Julia).Published to IEEE Intelligent Vehicles Symposium 2017 (June), with 20-minute lecture presentation..

Jun 2016 - Sep 2016

Intern

Mclean, VA, US

Detected anomalous foreign language xml files utilizing limited natural language processing in Python. Assisted in the set-up of 3 resource-heavy VMs (C) on a company-wide "cloud".Involved significant diagnostics and problem isolation and solving, and comprehensive documentation.

Jun 2015 - Sep 2015

Undergraduate Researcher - Space Environment And Satellite Systems Laboratory

Stanford, CA, US

Responsible for designing communications link for a CubeSat that will travel to Jupiter’s moon, Europa. Created communications link budget, 1 of 2 undergrads on team of ~10. Stanford Space Environment and Satellite Systems Lab.Paper where I was a contributing author: http://www.sciencedirect.com/science/article/pii/S0094576516308797

Oct 2014 - Jun 2015
2 education records

Derek Phillips education

Master Of Science - Ms, Computer Science

Stanford University

Bachelor Of Science (B.S.), Computer Science

Stanford University
FAQ

Frequently asked questions about Derek Phillips

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

What company does Derek Phillips work for?

Derek Phillips works for Kodiak Robotics.

What is Derek Phillips's role at Kodiak Robotics?

Derek Phillips is listed as Head of Perception Engineering at Kodiak Robotics at Kodiak Robotics.

What is Derek Phillips's email address?

AeroLeads has found 1 work email signal at @kodiak.ai for Derek Phillips at Kodiak Robotics.

Where is Derek Phillips based?

Derek Phillips is based in United States, United States, United States while working with Kodiak Robotics.

What companies has Derek Phillips worked for?

Derek Phillips has worked for Kodiak Robotics, Stanford University, Lyft, Facebook, and The Mitre Corporation.

How can I contact Derek Phillips?

You can use AeroLeads to view verified contact signals for Derek Phillips at Kodiak Robotics, including work email, phone, and LinkedIn data when available.

What schools did Derek Phillips attend?

Derek Phillips holds Master Of Science - Ms, Computer Science from Stanford University.

What skills is Derek Phillips known for?

Derek Phillips is listed with skills including Python, C++, C, and Machine Learning.

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