Ingrid Ingemarsson
Data Scientist
Gothenburg, Sweden
Summary
👤
Senior🎓
Top SchoolIngrid Ingemarsson is a data scientist with 11 years of experience and an MSc in Engineering Mathematics and Computational Science from Chalmers, combining strong foundations in physics, statistics and programming. Currently at AFRY, she applies machine learning and data-driven methods to real-world problems, with a particular interest in sustainability and climate change. Her master’s research developed quantile regression neural networks for precipitation nowcasting over Brazil, reflecting expertise in geoscience remote sensing and probabilistic deep learning. Earlier work includes NLP-focused projects at the Fraunhofer-Chalmers Centre, demonstrating versatility across modalities from text to satellite imagery. Based in Gothenburg, she blends rigorous academic training with applied industry delivery, able to move models from research prototype to operational use. An understated strength is her cross-disciplinary fluency—she bridges domain science, advanced math and software implementation to tackle environmental challenges.
11 years of coding experience
Master of Science - MS, Engineering Mathematics and Computational Science, Master of Science - MS, Engineering Mathematics and Computational Science at Chalmers tekniska högskola
Github Skills (31)
pytorch10
quantum-chemistry10
quantum-mechanics10
quantum-algorithms10
python10
toolbox10
machine-learning10
automatic-differentiation10
deep-learning10
qml10
quantum-computing10
qiskit10
optimization10
cross-platform9
autodiff9
Programming languages (3)
Github contributions (5)
ingstra/exjobb_program
Mar 2017 - May 2019
Contributions:2 releases, 20 pushes, 1 branch in 2 years 2 months
ingstra/cvx-tomography
Feb 2022 - Mar 2023
Contributions:3 releases, 35 pushes, 1 branch in 1 year 1 month
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