I am a PhD student at the University of Cambridge supervised by Qingyuan Zhao. My current research focuses on causal inference, sensitivity analysis and randomization inference.
Beyond this, I undertook industry projects in the implementation of RNNs with Tensorflow, Bayesian optimal experimental design and detection of synthetically lethal gene pairs based on CRISPR knock-out experiments. I am also a consultant at Cambridge’s Statistics Clinic.
B.Sc. Mathematics, 2017
Ludwig Maximilian University, Munich
Visiting Student, 2018
University of Oxford
M.Sc. Mathematics, 2020
Technical University of Munich
Exchange Research Student, 2020
Kyoto University