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Justin Chen Email & Phone Number

Senior Software Engineer at Google DeepMind
Location: San Francisco Bay Area, United States 12 work roles 3 schools
1 work email found @manifold.ai LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 86%

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Work email j****@manifold.ai
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Current company
Role
Senior Software Engineer
Location
San Francisco Bay Area, United States
Company size

Who is Justin Chen? Overview

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Quick answer

Justin Chen is listed as Senior Software Engineer at Google DeepMind, a with 6578 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at manifold.ai and a matched LinkedIn profile for Justin Chen.

Justin Chen previously worked as Software Engineer at Google Deepmind and Software Engineer at Google. Justin Chen holds Doctor Of Philosophy (Ph.D.), Physics from Rice University.

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Email format at Google DeepMind

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{first_initial}{last}@manifold.ai
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Profile bio

About Justin Chen

Scientist at heart, engineer to pay the bills. A lot of hype with AI, but also a lot of surprising use cases. Its just plain old fun to be a part of that process. Looking forward to see how the next decade unfolds!

Current workplace

Justin Chen's current company

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Google DeepMind
Google Deepmind
Senior Software Engineer
California, United States
Website
Employees
6578
AeroLeads page
12 roles

Justin Chen work experience

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

Software Engineer

Mountain View, California, United States

Software Engineer

Mountain View, California, United States

Speech team - keyword spotting. Process audio data, data cleaning, featurizing data, AI models for edge devices. Essentially, I'm part of the team that makes "Hey Google" work.

Jan 2022 - Nov 2024

Machine Learning Engineer

Oakland, Ca

• Partnered with 2 traditionally non-tech companies in the medical domain to build and deployend to end machine learning (ML) and data pipelines from the ground up.• Designed a framework for solving differential equations with deep learning in pytorch, whichhad a 10-100x speeedup compared with traditional gradient descent methods.• Created explainable ML models using SHAP analysis to determine why users were churning.• Used a distributed system architecture to create an email scheduling and sending system, withDynamoDB in the backend to provide instant lookup of 10 million user records.• Built a searchable database of leads for the sales team at a pharmaceutical company, usingAirflow to orchestrate the ingestion of 5+ data sources into a single ElasticSearch database.

Sep 2019 - Jan 2022

Insight Artificial Intelligence Technial Advisor

• Advised two insight fellows on how to quickly and effectively implement machine learning models in their four-week Insight project.• Provided mock behavioral and technical interviews for fellows to help them prepare for interviews with connected companies.

Oct 2019 - Jun 2020

Insight Artificial Intelligence Fellow

San Francisco Bay Area

• Used computer vision methods to automatically generate videogame highlights to aid ESports marketing.• Incorporated a pre-trained CNN (vggish from Tensorflow) to convert audio clips into embeddings.• Implemented a classifier using transfer learning in PyTorch by training a classification layer on vggish determined embeddings.• Designed a pipeline that automatically generates suggested labels, trains, and evaluates different models.• Partnered with an early stage startup, Visor, to integrate the model into their code base.

Jun 2019 - Sep 2019

Research Assistant - Computational Biophysicist

Houston, Texas

• Created new open-source Python packages to learn protein model parameters from experimental data, and contributed ~90% of the code while maintaining the package for the research group.• Identified and selected ideal features in protein simulations using dimensional reduction (PCA).• Used non-linear optimizers (i.e. stochastic gradient descent, L-BFGS-B) to train protein models.• Optimized package by parallelizing >75% of the computation time using MPI (mpi4py), and profiled memory and processor utilization to determine the slowest sections of the code.• Managed a team of 2 undergraduate researchers and mentored them on research projects.

Oct 2014 - Feb 2019

Research Assistant - Experimental Condensed Matter Physicist

Houston, Texas

• Discovered a new material that can be chemically tuned between an semiconductor and semimetal.• Used Matlab and Origin to perform numerical analysis on resistance vs temperature plots to determine the semiconductor band-gap.• Mentored and trained 3 undergraduate researchers in a lab environment and guided them in completing experiments and presenting their work.• Analyzed materials using x-ray and neutron crystallography, magnetic, and resistance measurements.• Operated and maintained high vacuum and low temperature measurement equipment.• Handled scheduling and allocation of lab instrument time between 6 group members.

Aug 2011 - Oct 2014

Physics Teaching Assistant

Houston, Texas

• Taught a bi-weekly 3 hour long introductory physics laboratory sessions for approx. 30 students.• Assisted students in completing experiments and instructed on how to report results appropriately.

Jan 2012 - May 2014

Pagsa Vice President And Council Representative

Houston, Texas

• Volunteered with PAGSA to improve professional opportunities for graduate students at Rice University.• Organized networking and social events for the approximately 100 students in the department.• Participated in monthly meetings to approve grant funding (up to $1,000 per) for school organizations.

Sep 2011 - May 2013

Researcher

Ithaca, Ny

Tested graphene window flow properties for use as a UV window in vacuum systems. Designed and built instruments for the lab's Angle Resolved PhotoEmission Spectroscopy (ARPES) system.

Sep 2009 - May 2011

Nsf Reu Researcher

Troy, Ny

Studied ultra-thin Germanium films for their use in photovoltaic cells. Designed, built and calibrated a Hall-effect measurement setup.

Jun 2010 - Aug 2010
3 education records

Justin Chen education

FAQ

Frequently asked questions about Justin Chen

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

What company does Justin Chen work for?

Justin Chen works for Google DeepMind.

What is Justin Chen's role at Google DeepMind?

Justin Chen is listed as Senior Software Engineer at Google DeepMind.

What is Justin Chen's email address?

AeroLeads has found 1 work email signal at @manifold.ai for Justin Chen at Google DeepMind.

Where is Justin Chen based?

Justin Chen is based in San Francisco Bay Area, United States while working with Google DeepMind.

What companies has Justin Chen worked for?

Justin Chen has worked for Google Deepmind, Google, Manifold, Insight Data Science, and Rice University.

How can I contact Justin Chen?

You can use AeroLeads to view verified contact signals for Justin Chen at Google DeepMind, including work email, phone, and LinkedIn data when available.

What schools did Justin Chen attend?

Justin Chen holds Doctor Of Philosophy (Ph.D.), Physics from Rice University.

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