Interest in Gaussian Processes, Bayesian Inference, Online Learning and Julia programming.
I gave a talk at the Cambridge Machine Learning Reading Group and it’s been recorded, check it out on here on Youtube
Our paper “Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models” got accepted at the AISTATS 2020 conference, check it out! Here is a short explaining Twitter thread.
Our paper “Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation” got accepted for the UAI conference 2019, see you in Tel Aviv
Our paper “Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation” got accepted at the AAAI conference 2019!
Current : PhD in Machine Learning under the supervision of Professor Manfred Opper.
2016-2017 : Research intern @ Humboldt University of Berlin
2015-2016 : C++ Software developper in MRI development @ Siemens Healthcare in Lausanne
2012-2015 : Teaching assistant for Particle Physics, General Physics @ University of Edinburgh & EPFL
2015 : Internship in Particle Physics @ Lancaster University
You can find a more complete CV here