I’m a Senior Research Associate at Lancaster University. Prior to that, I got a PhD degree from Sheffield University, and a specialist degree from Lomonosov Moscow State University. I’ve also done an internship at Oxford Machine Learning Research Group.

My research interests include crowdsourcing, object detection, sparse modelling, nonparametric Bayes, applications of machine learning in medicine.

Latest News

• 19.05.2022 The paper Disaster, Infrastructure and Participatory Knowledge: The Planetary Response Network was accepted to the Citizen Science: Theory and Practice journal.

• 26.10.2021 The paper Disaster mapping from satellites: damage detection with crowdsourced point labels with Olga Isupova, Brooke Simmons and Steven Reece was accepted for oral presentation at the 3rd Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response at NeurIPS 2021.

• 01.02.2019 The paper Bayesian neural networks for sparse coding with Olga Isupova and Lyudmila Mihaylova has been accepted at the 2019 International Conference on Acoustics, Speech, and Signal Processing.

• 01.01.2019 The paper Disaster Response: Leveraging Wide Area Earth Observation with Machine Learning with Olga Isupova, Brooke Simmons and Steven Reece was accepted to General Assembly of the European Geosciences Union.

• 20.11.2018 The paper BCCNet: Bayesian classifier combination neural network with Olga Isupova, Yunpeng Li, Stephen J Roberts, Katherine Willis and Steven Reece was selected for a spotlight talk at the NIPS 2018 Machine Learning for Developing World workshop.

• 17.11.2018 The paper Uncertainty propagation in neural networks for sparse coding with Olga Isupova and Lyudmila Mihaylova has been accepted at the NIPS 2018 Bayesian Deep Learning workshop.

• 20.10.2018 The paper Discovering Dynamic Topic Transitions in Topic Models with Olga Isupova and Lyudmila Mihaylova has been accepted at the NIPS 2018 Bayesian Nonparametrics workshop.

• 09.07.2018 The paper Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors with Olga Isupova and Lyudmila Mihaylova has been accepted at the Transactions on Signal Processing journal.

• 01.05.2018 The paper Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning with Le Yang, Olga Isupova and Lyudmila Mihaylova has been accepted at the FUSION 2018 conference.

• 25.07.2017 The paper Learning Methods for Dynamic Topic Modeling in Automated Behaviour Analysis with Olga Isupova and Lyudmila Mihaylova has been accepted at IEEE Transactions on Neural Networks and Learning Systems.

• 16.03.2017 The paper Structured sparse modelling with hierarchical GP with Olga Isupova and Lyudmila Mihaylova has been accepted at the SPARS 2017 conference.