Scholar

Rickard Karlsson

Google Scholar ID: sIln4MYAAAAJ

Delft University of Technology

Machine learningCausal inferenceStatistics

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Resume (English only)

Academic Achievements

Publications: 'Robust integration of external control data in randomized trials' accepted to Biometrics and distinguished as a Discussion paper, 'Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data' accepted to ICML 2025 Scaling Interventions Models workshop, 'Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms' accepted to ICML 2025, 'Putting Causal Identification to the Test: Falsification using Multi-Environment Data' accepted to NeurIPS 2023 Causal Representation Learning workshop, 'Detecting hidden confounding in observational data using multiple environments' accepted to NeurIPS 2023, 'Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models' accepted to AISTATS 2022, 'Continuous Surrogate-Based Optimization Algorithms Are Well-Suited for Expensive Discrete Problems' accepted at BNAIC/BeneLearn 2020. Awards: G-Research grant for early-career researchers, 1st place in GECCO 2021 Industrial Challenge (limited evaluation track).

Research Experience

Conducting PhD research at TU Delft, focusing on causal falsification and trial augmentation. Worked as a visiting graduate student at Harvard University, and interned at NASA Goddard Space Flight Center.

Education

Bachelor's Degree: Engineering Physics, Chalmers University of Technology; Master's Degree: Engineering Mathematics, Chalmers University of Technology; PhD: Causal Inference & Machine Learning, Delft University of Technology (Supervised by Jesse Krijthe and Marcel Reinders)

Background

Research Interests: causal inference and machine learning; Professional Field: Pattern Recognition Laboratory; Background: Originally from Sweden, currently a PhD candidate at TU Delft, supervised by Jesse Krijthe and Marcel Reinders. Also a visiting graduate student at Harvard University, working with Issa Dahabreh in the CAUSALab, and a machine learning scientist intern at Booking.com in Amsterdam.

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