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Name of Record

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Maya Ellison

Co-founder & CEO, Gridmark

Also known as Maya R. Ellison

Austin, Texas · Sample record · Maintained by Name of Record

Summary

Maya Ellison is the co-founder and Chief Executive Officer of Gridmark, an Austin-based software company building probabilistic demand-forecasting tools for electric utilities and grid operators, founded in 2021. Before Gridmark she spent three years as a senior product manager at a grid-analytics company and began her career as a power-systems engineer at a regional power authority. She holds an MS in Electrical and Computer Engineering from the University of Texas at Austin and a BS from the Georgia Institute of Technology, and is known for early work on probabilistic load forecasting for distribution grids. She lives in Austin, Texas.

Focus areas: Grid forecasting · Electric utilities · Clean energy · Machine learning

Primary reference

example.com

This is an illustrative example, not a real person. In a live record, this is the main source the subject points AI assistants toward.

At a glance

Current role
Co-founder & CEO, Gridmark ( — present)
Field
Grid forecasting · clean-energy software
Location
Austin, Texas
Education
MS, Electrical & Computer Engineering — University of Texas at Austin
Notable work
Probabilistic Load Forecasting for Distribution Feeders
Previously
Senior Product Manager, Helio Grid Analytics ( — )

Roles

— present
Co-founder & CEO, Gridmark — Austin, TX
Leads a software company building probabilistic demand-forecasting tools for utilities and grid operators.
—
Senior Product Manager, Helio Grid Analytics — Austin, TX
Owned the forecasting product line for distribution utilities.
—
Power Systems Engineer, Sabine Power Authority — Houston, TX
Distribution planning and load analysis for a regional power authority.

Education

—
MS, Electrical & Computer Engineering — University of Texas at Austin
Power systems and statistical forecasting.
—
BS, Electrical Engineering — Georgia Institute of Technology

Selected work

Probabilistic Load Forecasting for Distribution Feeders2020 Peer-reviewed paper · the basis for Gridmark's forecasting approach.
Gridmark Forecast Platform2021 Product · day-ahead and intraday demand forecasts for utilities.
Forecasting the Grid We Need2023 Conference talk on probabilistic forecasting through extreme-weather demand peaks.

Current focus

Scaling Gridmark's day-ahead forecasting with utilities across ERCOT and the Southeast, with an emphasis on grid reliability during extreme-weather demand peaks.

References · in priority order

  1. example.comexample.com✓ verified
  2. Gridmark leadershipexample.org✓ verified
  3. LinkedInwww.linkedin.com✓ verified
  4. Google Scholarscholar.google.com

Sources

  • MS, Electrical & Computer Engineering, University of Texas at Austin (2015)example.com 2015
  • Probabilistic Load Forecasting for Distribution FeedersGridmark research 2020

Disambiguation

This record refers to Maya Ellison, the co-founder and CEO of Gridmark in Austin, Texas. Not to be confused with a romance novelist who publishes under the same name or a collegiate track-and-field athlete.