Malte Damgaard
Head Of Quantitative Research, Technology & Operations
Aalborg, North Denmark Region
Summary
👤
Senior🎓
Top SchoolMalte Damgaard is a quantitative research and engineering leader with nine years of experience applying probabilistic modeling, machine learning and algorithmic execution to energy markets. Currently Head of Quantitative Research, Technology & Operations at Wolfram Trading, he drives systematic strategy development, automation and risk management across complex global power markets. He transitioned from academic research—earning a Ph.D. in cognitive robotics—to trading, translating expertise in probabilistic programming and decision-making into scalable algo trading systems. At Norlys he helped build the company’s algo framework and scaled US power-market portfolios, blending hands-on implementation with strategic productisation. Comfortable at the intersection of research and production, he thrives on making sophisticated models operational under tight latency and risk constraints. An eclectic problem-solver, he pairs robotics-rooted control intuition with market-driven optimization to find edges others miss.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS Control and Automation engineering at Aalborg University, Master of Science - MS Control and Automation engineering at Aalborg University at Aalborg UniversitySTX, STX at Brønderslev Gymnasium
Github Skills (19)
extent7
generated-code5
ros-driver5
robot5
attitude5
controller4
workspace4
mpc4
coder4
sliding4
matlab4
hal4
ros4
esp323
robotics3
Programming languages (1)
Github contributions (5)
damgaardmr/probMind
Jan 2022 - Nov 2022
Contributions:2 releases, 19 pushes in 9 months
damgaardmr/HouseExpo
Jan 2022 - Nov 2022
HouseExpo: A Large-scale 2D Indoor Layout Dataset
Contributions:1 release, 7 pushes, 1 tag in 9 months
layoutdatasetscalelarge-scale2d-scale
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