Michael Stanley
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Michael Stanley Email & Phone Number

Machine Learning and Perception at Zoox at Zoox
Location: San Francisco, California, United States 10 work roles 2 schools
1 work email found @paralleldomain.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email

Work email m****@paralleldomain.com
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Current company
Role
Machine Learning and Perception at Zoox
Location
San Francisco, California, United States

Who is Michael Stanley? Overview

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Quick answer

Michael Stanley is listed as Machine Learning and Perception at Zoox at Zoox, based in San Francisco, California, United States. AeroLeads shows a work email signal at paralleldomain.com and a matched LinkedIn profile for Michael Stanley.

Michael Stanley previously worked as Senior Machine Learning Engineer at Zoox and Machine Learning Researcher at Uc Davis Biological And Agricultural Engineering. Michael Stanley holds Master'S Degree, Data Science from New York University.

Company email context

Email format at Zoox

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{first}.{last}@paralleldomain.com
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AeroLeads found 1 current-domain work email signal for Michael Stanley. Compare company email patterns before reaching out.

Profile bio

About Michael Stanley

I am a Senior Machine Learning Engineer at Parallel Domain. Before joining PD I completed a Masters in Data Science at NYU, during which time I was a researcher with multiple groups focused on applying machine learning to LiDAR points clouds and scientific imagery. More detail on past research projects are available on my personal website: https://mihamerstan.github.io/

Current workplace

Michael Stanley's current company

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Zoox
Zoox
Machine Learning and Perception at Zoox
AeroLeads page
10 roles

Michael Stanley work experience

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

Senior Machine Learning Engineer

Current

Foster City, California, Us

Sep 2024 - Present

Machine Learning Researcher

Current

Pro bono research in the Plant AI and Biophysics Lab under Dr. Mason Earles. Applying computer vision to address problems in agriculture, specifically:- Stacked data-focused (cycleGAN) and architecture-focused (gradient reversal) domain adaptationto improve generalization of models trained on biologically realistic synthetic data.- Applied foundational and diffusion models to agriculture for annotation and data generation.- Designed and led experiments supported by two graduate students.

Dec 2022 - Present

Senior Machine Learning Engineer

San Francisco, California, Us

At PD we generate synthetic data to improve computer vision models and pipelines in autonomous driving and other industries. I spend my time building 2D and 3D vision models to take advantage of synthetic data, and finding ways to improve our data generation. I also work on cutting-edge 3D reconstruction techniques to build more realistic synthetic worlds. I spend most of my time on autonomous driving but have also worked with drones and other CV-enabled devices.

Jan 2023 - Sep 2024

Machine Learning Engineer

San Francisco, California, Us

I focus on improving computer vision models with synthetic data. Our team works on 2D and 3D object detection and semantic segmentation, as well as other CV tasks such as depth estimation and optical flow. I work extensively with both camera and LiDAR data. We also work on improving synthetic data with computer vision through a variety of domain adaptation techniques.

Aug 2021 - Jan 2023

Researcher

New York, Ny, Us

Applying generative adversarial networks (GANs) and inverse techniques to denoise and extract 3D structure from 2D electron microscope images. Advisor: Carlos Fernandez-Granda, Assistant Professor of Mathematics and Data Science

Jun 2020 - Aug 2021

Researcher And Team Leader

Brooklyn, Ny, Us

Conducting research on a variety of topics, all considering statistical and computational processing of LiDAR point clouds. Focus on inverse problems (inpainting missing points), object detection (identifying vehicles for removal), and transfer learning across datasets (of different geographies, point densities). Part of a multi-university NSF project: Machine Learning for Multi-Disciplinary, Multi-Scale ProblemsAdvisor: Debra Laefer, Professor of Urban Informatics, NYU Center for Urban Science and Progress

Jan 2020 - Aug 2021

Technical Product Manager, Machine Learning

New York, Ny, Us

Enigma builds software solutions that connects corporate and public data to decision-making. We maintain a vast collection of true-to-source public data that we bring to bear for our customers, as well as a full data software stack including ETL, storage and search, metadata management, and vertical-specific solutions.As a product manager, I help our Engineering team build the right product for our current and target customers, work with our Commercial team to sell and market our products, and work with our customers to understand their needs and ensure we are as valuable to them as possible. I also built feature prototypes before full development, including: Personal Identifiable Information data classifier (pytorch), GraphQL API for knowledge graph (GraphQL), ontology auto-mapping engine (pytorch).I work on various projects focused on search, metadata, machine learning, ontology management, and knowledge graphs.

Jan 2017 - Jun 2019

Senior Product Manager, Internet Of Things

San Jose, California, Us

Product Manager in Symantec's Internet of Things group. Working on Anomaly Detection for Industrial Control Systems, a security analytics solution that uses machine learning to proactively identify threats without requiring a user to write rules. Also work on Anomaly Detection for Automotive, an in-vehicle security analytics solution, and various projects in the industrial, automotive, and healthcare verticals.

Jul 2014 - Dec 2016

Associate

Chicago, Il, Us

CIVC Partners is a middle market private equity firm with $1.3B under management, investing primarily in business services and financial services.Closed investments with Honor Finance (subprime auto finance lender) and Shelter Mortgage (retail mortgage originator). Participated in all phases of the private equity investment process: company and industry diligence, deal sourcing, portfolio company oversight, recruiting and marketing.

Jan 2011 - Nov 2013

Senior Associate Consultant

Boston, Ma, Us

Bain & Company is a international management consulting firm with 48 offices in 31 countries.I was responsible for market analysis, financial modeling, managing direct reports, client relationships, project direction. I completed projects focused on growth strategy, post-merger integration, M&A strategy, acquisition due diligence, internet revenue optimization,

Sep 2007 - Jan 2011
2 education records

Michael Stanley education

Master'S Degree, Data Science

New York University

B.S.E., Mechanical Engineering And Material Science, Economics

Duke University
FAQ

Frequently asked questions about Michael Stanley

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

What company does Michael Stanley work for?

Michael Stanley works for Zoox.

What is Michael Stanley's role at Zoox?

Michael Stanley is listed as Machine Learning and Perception at Zoox at Zoox.

What is Michael Stanley's email address?

AeroLeads has found 1 work email signal at @paralleldomain.com for Michael Stanley at Zoox.

Where is Michael Stanley based?

Michael Stanley is based in San Francisco, California, United States while working with Zoox.

What companies has Michael Stanley worked for?

Michael Stanley has worked for Zoox, Uc Davis Biological And Agricultural Engineering, Parallel Domain, Nyu Center For Data Science, and Nyu Center For Urban Science + Progress.

How can I contact Michael Stanley?

You can use AeroLeads to view verified contact signals for Michael Stanley at Zoox, including work email, phone, and LinkedIn data when available.

What schools did Michael Stanley attend?

Michael Stanley holds Master'S Degree, Data Science from New York University.

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