Meaghan Podlaski
Research Engineer at GE Research
Albany, New York Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolMeaghan Podlaski is a research engineer and PhD candidate at Rensselaer Polytechnic Institute with eight years of experience modeling and identifying cyber-physical systems for land-based power grids and electrified aircraft. She has transitioned academic innovations into applied engineering at GE Research, developing novel cryogenic electrical system architectures and validated mathematical models for superconducting transmission lines and hydrogen-cooled components. Her background spans dynamic studies for large grids (ERCOT), predictive load forecasting, and cross-tool model validation, showing strength in multi-domain simulation and software-tool integration. Known for combining rigorous experimental validation with tool-driven automation, she designs low-cost test inputs and component-level validation methods that reveal system degradation over time. Based in the Albany NY area, she brings a rare mix of hands-on system calibration, controls expertise, and aerospace electrification insight that accelerates practical, multi-disciplinary solutions.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Electrical Engineering, Bachelor of Science (B.S.), Electrical Engineering at Rensselaer Polytechnic Institute
Spanish, English
Github Skills (23)
simulation10
dymola10
fmi10
calibration10
recursive10
modeling10
modelica10
acronym10
robotics9
visualization9
power-systems9
validation9
dynamical-systems9
parameter-estimation9
model-validation9
Programming languages (3)
Github contributions (5)
ALSETLab/RaPId
Mar 2018 - Jul 2021
RaPId (a recursive acronym for "Rapid Parameter Identification") utilizes different optimization and simulation technologies to provide a framework for model validation and calibration of any kind of dynamical systems, but specifically catered to power systems.
Contributions:10 commits, 2 PRs, 12 pushes in 3 years 4 months
dynamical-systemssimulationrecursiveparameter-estimationenergy-system
mpodlaski/Modelica-Drone-3D-FMI
Oct 2019 - May 2023
A drone model with 3D visualization and FMU export configuration developed using Modelica
Contributions:71 pushes, 1 branch in 3 years 7 months
roboticsexport3d-visualizationfmudrone
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