Jiří Hron

I am a PhD candidate at the Trinity College, University of Cambridge supervised by Professor Zoubin Ghahramani, and co-supervised by Professors Yee Whye Teh and Dino Sejdinovic from the University of Oxford. My research is broadly focused on statistical machine learning, and in particular on uncertainty quantification, approximate inference, and random theory of neural networks. Before arriving to Cambridge, I graduated with distinction from the Computational Statistics and Machine Learning Masters programme at the University College London. The final dissertation concentrated on design and analysis of a new approximate inference algorithm for Bayesian neural networks. Other prior undertakings include statistical analysis of mental health records for signs of post-discharge suicide risk among inpatients, and development of commercial AI-based solutions for healthcare and national security applications. Outside of my research, I like reading about political history, history of science, or international affairs and national security, and am a member of the Trinity College Music Society.