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Career

· Intern, Carnegie Mellon University (CMU) Auton Lab2022–
· Summer Scholar, Carnegie Mellon University (CMU) Robotics Institute Summer Scholars (RISS)2021–
· MSc Machine Learning, KTH Royal Institute of Technology
· Software Engineer, KTH Royal Institute of Technology
· ML Engineer, Marinus Analytics
· Software Engineer, Polish Academy of Sciences
· BSc Computer Science, Warsaw University of Technology

Publications (9)

The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks
arXiv.org · 2021
33
cited
Graph Neural Networks for Improved El Niño Forecasting
arXiv.org · 2020
16
cited
What are the Critical Elements of Satisfaction and Experience in Labor and Childbirth—A Cross-Sectional Study
International Journal of Environmental Research and Public Health · 2020
13
cited
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2021
9
cited
Deep Neural Networks for Detecting Statistical Model Misspecifications. The Case of Measurement Invariance
Structural Equation Modeling: A Multidisciplinary Journal · 2021
6
cited
Numerical and Experimental Performance Analysis of the Chirped Fiber Bragg Grating Based Abrasion Sensor for the Maintenance Applications in the Industry 4.0
Italian National Conference on Sensors · 2020
6
cited
Predictive Modeling of Equine Activity Budgets Using a 3D Skeleton Reconstructed from Surveillance Recordings
arXiv.org · 2023
1
cited
Graph Deep Learning for Long Range Forecasting
2021
Recur, Attend or Convolve? Frame Dependency Modeling Matters for Cross-Domain Robustness in Action Recognition
arXiv.org · 2021
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Ernest Pokropek | Researcher Profile | Sotabase | Sotabase