I am a senior research scientist at Spotify research working with a great team in London, UK.
Before that, I was a senior researcher at Microsoft Research Cambridge part of ML for Healthcare. I was a postdoc at the University of Oxford working with Yee_Whye Teh. I did my PhD with Zoubin Ghahramani in Cambridge university where I was studying the fairy tales of Machine Learning.
A pure Bayesian in education, I spent years building probabilistic models that uncover the latent structure in data. My work focused on methodology and was applied on a plurality of data, from genomics to relational. Most recently, I moved away from methodology driven research and got interested in solving challenges in the real world and most recently in the domain of Health. I constructed models for the prediction of adverse patient outcomes in a hospital. I mostly worked on time-series using probabilistic but also deep learning approaches. I am a firm believer on co-developing the ML models with the users they intend to assist.
Opinions are my own
I am serving as Affinity Workshops Chair at this year’s NeurIPS Conference.
Excited to join the Organizing Committee as the Senior Program Chair for the WiML Workshop at NeurIPS 2022.
[ICML 2020 workshop on Healthcare Systems, Population Health, and the Role of Health-Tech]
I am excited to announce call for short papers to our ICML workshop on HSYS.
Go and check our website for details!
Paper submission deadline: May 29, 2020 (AOE)
Workshop: July 17 or 18, 2020 | Virtual Worldwide
I am part of the AISTATS 2020 Organizing Committee.
I gave an invited talk in the Construction Engineering Masters (CEM) programme at the Department of Engineering, University of Cambridge. An overview of the Opportunities and Challenges for ML in Healthcare.
I am honoured to be part of the comittee of the Women in Data Science and Statistics (WiDSS) launched by the Royal Statistical Society.
Gave a tutorial on Machine Learning and Healthcare in Deep Learning Indaba, Stellenbosch, 2018
Danielle Belgrave, Lamiae Azizi and myself gave an ICML tutorial on ML for Personalised Health.
Gave a tutorial on Probabilistic Reasoning in Deep Learning Indaba, Johannesburgh, September 10-15, 2017