Fabian Falck

Hi and welcome! I am Fabian - great to have you here!

I am a PhD student at the University of Oxford, supervised by Chris Holmes. I am interested in probabilistic deep learning for topics in unsupervised learning and causal inference.

Recently, I have worked on multi-facet clustering with variational autoencoders (NeurIPS 2021) and matching for treatment effect estimation in causal inference.

Before joining Oxford, I obtained a MSc in Computer Science at Imperial College London, and a MSc in Industrial Engineering at Karlsruhe Institute of Technology, with visits at Shanghai's Jiao Tong University, Tsinghua University in Beijing, Singapore and Carnegie Mellon University in the US.

I later worked on research in computer vision, robotics and machine learning for health at Imperial and Carnegie Mellon. Selected publications are an exoskeleton for teleoperation called DE VITO, published at TAROS 2019 (Best Paper Award), the UK's largest robotics conference, a software architecture for Robot DE NIRO, published in the journal Frontiers in Robitics and AI and at an IROS workshop (spotlight), and hemorrhage diagnosis with recurrent neural networks at the NeurIPS ML4H workshop (spotlight).

For now, please see my Google Scholar page for a list of publications.

If you'd like to chat or collaborate with me, please do reach out!

Contact: fabian.falck {at} stats {dot} ox {dot} ac {dot} uk