- Paper: Combinatorial and algebraic perspectives on the marginal independence structure of Bayesian networks, 2022
- Paper: A Transformational Characterization of Unconditionally Equivalent Bayesian Networks, 2022
- Paper: A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations, 2022
- Paper: Distance Covariance: A Nonlinear Extension of Riemannian Geometry for EEG-based Brain-Computer Interfacing, 2021
Research Experience
- Postdoc Researcher, KTH Royal Institute of Technology, with Liam Solus
- Postdoc Researcher, University of Copenhagen, with Niels Richard Hansen
- SMARTbiomed Fellow, with Erin Gabriel
Education
- PhD in Computer Science, 2022, University of Vienna, Advisor: Moritz Grosse-Wentrup
- MS in Logic, Computation, and Methodology, 2017, Carnegie Mellon University
- BA in Philosophy, BA in Mathematics, 2015, St. Mary's University
Background
Research interests: Causality and Machine Learning, Combinatorics and Algebraic Statistics, Single-cell Transcriptomics and Neuroimaging Applications, Methodology and Philosophy of Science. Biography: Alex Markham is a postdoc researcher at the University of Copenhagen, working with Niels Richard Hansen in the Copenhagen Causality Lab, and also a SMARTbiomed fellow, working with Erin Gabriel.