Michael Stanley

Senior Machine Learning Engineer at Parallel Domain
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Contact Information
us****@****om
(386) 825-5501
Location
San Francisco, California, United States, US

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Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Senior Machine Learning Engineer
      • Jan 2023 - Present

      At PD we generate synthetic data to improve computer vision models and pipelines. 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 spend most of our time on autonomous driving but have also worked with drones and other CV-enabled devices.

    • Machine Learning Engineer
      • Aug 2021 - Jan 2023

      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.

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Machine Learning Researcher
      • Dec 2022 - Present

      Pro bono research in the Plant AI and Biophysics Lab under Dr. Mason Earles. Applying computer vision to address problems in agriculture, specifically: - Using domain adaptation techniques to train models on biologically realistic synthetic data (generated by the group’s Helios technology) and apply them to unseen, real-world data - Estimating phenotypes (e.g., stem length, canopy density) from multi-modal sensor data Pro bono research in the Plant AI and Biophysics Lab under Dr. Mason Earles. Applying computer vision to address problems in agriculture, specifically: - Using domain adaptation techniques to train models on biologically realistic synthetic data (generated by the group’s Helios technology) and apply them to unseen, real-world data - Estimating phenotypes (e.g., stem length, canopy density) from multi-modal sensor data

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Researcher
      • Jun 2020 - Aug 2021

      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 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

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Researcher and Team Leader
      • Jan 2020 - Aug 2021

      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 Problems Advisor: Debra Laefer, Professor of Urban Informatics, NYU Center for Urban Science and Progress Show less

    • United States
    • Software Development
    • 1 - 100 Employee
    • Product Manager
      • Jan 2017 - Jun 2019

      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. And anything else that needs to get done. I work on various projects focused on search, metadata, machine learning, ontology management, and knowledge graphs. Show less

    • United States
    • Software Development
    • 700 & Above Employee
    • Senior Product Manager, Internet of Things
      • Jul 2014 - Dec 2016

      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. 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.

    • United States
    • Venture Capital and Private Equity Principals
    • 1 - 100 Employee
    • Associate
      • Jan 2011 - Nov 2013

      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. 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.

    • United States
    • Business Consulting and Services
    • 700 & Above Employee
    • Senior Associate Consultant
      • Sep 2007 - Jan 2011

      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, 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,

Education

  • New York University
    Master's degree, Data Science
    2019 - 2021
  • Duke University
    B.S.E., Mechanical Engineering and Material Science, Economics
    2003 - 2007

Community

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