Matthew Stewart, Phd

Matthew Stewart, Phd Email and Phone Number

Chief Technology Officer @ Harbor.ai
New York, NY, US
Matthew Stewart, Phd's Location
New York, New York, United States, United States
About Matthew Stewart, Phd

Matthew is the Chief Technology Officer at Harbor.ai, managing a team of data scientists and engineers to improve the efficiency of insurance transactions through the use of artificial intelligence. He is also a member of the Forbes Technology Council, a research director with MLCommons Research, and a member of the AI council for Virtual Protocols.As a postdoctoral fellow at Harvard University in the Edge Computing Lab, Matthew’s main area of research focused on the development of embedded machine learning (aka. TinyML), machine learning sensors, and lifetime-aware system design. He also managed multiple projects, including a silicon photonics-based autonomous vehicle, the design and manufacture of flexible microprocessors, large language models for hardware-software co-design, benchmarking tools for robotics and reinforcement learning, and neuromorphic computing.His Ph.D. work focused on analyzing biogenic emissions in the Amazon Rainforest using UAV-based intelligent gas sensing systems augmented with computational chemistry and quantum chemical machine learning methods.Matthew also has research experience in medical data science, time series modeling, and systems development, as well as expertise in e-learning, technical writing, and science communication.

Matthew Stewart, Phd's Current Company Details
Harbor.ai

Harbor.Ai

View
Chief Technology Officer
New York, NY, US
Website:
harbor.ai
Employees:
23
Matthew Stewart, Phd Work Experience Details
  • Harbor.Ai
    Chief Technology Officer
    Harbor.Ai
    New York, Ny, Us
  • Forbes Technology Council
    Member
    Forbes Technology Council Jun 2024 - Present
    Boston, Ma, Us
  • Harbor.Ai
    Chief Technology Officer
    Harbor.Ai Apr 2024 - Present
    New York, Ny, Us
  • Dandelion Health
    Data Privacy Scientist
    Dandelion Health Apr 2024 - Present
    New York, Ny, Us
  • Virtual Protocol
    Ai Council
    Virtual Protocol Feb 2024 - Present
    As an AI Advisor on the VIRTUAL Protocol Advisory Council, I guide the strategic development of blockchain-based AI personas for diverse virtual interactions, including gaming and metaverses. My expertise in AI, machine learning, and blockchain technologies informs the creation of these advanced, co-owned AI characters, ensuring ethical standards, economic viability, and immersive user experiences. My focus is on leveraging AI to enhance virtual interactions, driving the future of digital engagement towards a more personalized and immersive direction.
  • Mlcommons
    Research Director
    Mlcommons May 2023 - Present
    San Francisco, Us
    At MLCommons, an open engineering consortium that strives to accelerate machine learning innovation for public good, I am responsible for various roles and responsibilities to coordinate and manage various research projects. Key responsibilities include project coordination and management, stakeholder communication, event organization, curating the MLCommons website and blog posts, and building collaborative initiatives with external groups and organizations.
  • Harvard University
    Postdoctoral Researcher
    Harvard University Jan 2023 - Present
    Cambridge, Massachusetts, Us
    Working and supervising research at the intersection of engineering and computing on the following projects: the world's first photonics-driven autonomous vehicle, the first flexible electronic processor capable of running TinyML, machine learning sensors, algorithms for data-centric AI, model and data co-design using reinforcement learning, benchmarking tools for reinforcement learning agents and robotic systems, as well as neuromorphic and sustainable computing. This role also incorporates grant writing and teaching machine learning and computer architecture-related courses at the university.
  • Towards Data Science
    Technical Writer
    Towards Data Science Feb 2019 - Present
    San Francisco, California, Us
    Democratizing knowledge about machine learning, data science, and related topics in an attempt to provide broader access to educational resources. Profile page here: https://medium.com/@matthew_stewart
  • Critical Future
    Machine Learning Consultant
    Critical Future Dec 2019 - Oct 2023
    London, England, Gb
  • Harvardx - An Online Learning Initiative By Harvard University Through Edx
    Content Writer
    Harvardx - An Online Learning Initiative By Harvard University Through Edx Nov 2020 - Mar 2022
    Cambridge, Ma, Us
    Content creator for the Tiny Machine Learning (TinyML) Professional Certificate series in association with HarvardX.
  • Harvard University Graduate School Of Arts And Sciences
    Graduate Teaching Assistant
    Harvard University Graduate School Of Arts And Sciences Jan 2018 - May 2021
    Cambridge, Ma, Us
    Head teaching assistant in "ES112: Thermodynamics by Case Study", taught by Professor Scot Martin at Harvard University. This role includes facilitating discussion sections, giving lectures, writing and grading homework and exams, assessing student projects and providing general assistance to students to help develop their analytical and modeling skills with a focus on thermodynamics.
  • Harvard University
    Academic Tutor
    Harvard University Sep 2017 - May 2020
    Cambridge, Massachusetts, Us
    Tutor for undergraduate and graduate courses at Harvard University, including data science and machine learning, thermodynamics, and mathematics.
  • Tomorrow.Io
    Summer Intern
    Tomorrow.Io Jun 2019 - Sep 2019
    Boston, Massachusetts, Us
    At Tomorrow.io (formerly ClimaCell), Matthew developed a pollen emission and dispersion model for the continental United States by combining the BELD3 dataset from the US Forestry Service with NOAA CSFR reanalysis data and integrating this with a parametric emissions model. Emissions and dispersion of multiple pollen species, such as Birch, Ragweed, and other grass and tree pollens, were achieved.
  • Champions Life Academy
    Sales Representative
    Champions Life Academy Jun 2015 - Sep 2015
    London, Gb
    Student internship charity fundraising based in Bristol, United Kingdom, in support of the children's trust, helping children with Acquired Brain Injuries (ABI).
  • Coalville Business Services Limited
    Accounting Assistant
    Coalville Business Services Limited Jun 2014 - Oct 2014
    Administrative and accounting assistant for a small accounting and business consulting company.

Matthew Stewart, Phd Education Details

  • Harvard University
    Harvard University
    Engineering Sciences W/ Data Science
  • Harvard University
    Harvard University
    Engineering Sciences
  • Imperial College London
    Imperial College London
    Mechanical Engineering
  • King Edward Vii Specialist Science & Sports College
    King Edward Vii Specialist Science & Sports College
    Gcse'S & A Levels

Frequently Asked Questions about Matthew Stewart, Phd

What company does Matthew Stewart, Phd work for?

Matthew Stewart, Phd works for Harbor.ai

What is Matthew Stewart, Phd's role at the current company?

Matthew Stewart, Phd's current role is Chief Technology Officer.

What schools did Matthew Stewart, Phd attend?

Matthew Stewart, Phd attended Harvard University, Harvard University, Imperial College London, King Edward Vii Specialist Science & Sports College.

Who are Matthew Stewart, Phd's colleagues?

Matthew Stewart, Phd's colleagues are Nóirín Daly Cip, Zhihao Wang, Parag Chaudhari, Dhwani Vaishnav, Katy Holt, Mba, Kavitha Siratla.

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