Welcome to my personal homepage
I am a Senior scientist at Amazon, based in Cambridge, UK.
Before joining Amazon I co-founded Inferentia together with Neil Lawrence, Zhenwen Dai and Javier Gonzalez. Our start-up was eventually acqui-hired by Amazon. I also worked as a research associate in machine learning and social robotics at Sheffield, and before that I pursued my PhD degree with topic Deep Gaussian Processes and Variational Propagation of Uncertainty.
My research areas of interest are: representation learning, transfer learning, uncertainty quantification. I am working with machine learning models from the Bayesian probabilistic or the deep learning domain, but I also investigate methods combining these areas.
I have worked in a variety of application areas, such as: multi-modal information fusion, decision making, information retrieval, AI-assisted data science.
Contact
Email: lastname {at} amazon {dot} com
Twitter: @adamianou
Google Scholar
News
- Feb. 2021: Looking forward to the Cambridge Science accelerator winter school, where I'll be speaking about the role of uncertainty in machine learning
- Jan. 2021: Two new papers: "Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data" (ICLR) and "Fast Adaptation with Linearized Neural Networks" (AISTATS)!
Particular thanks to first authors W. Maddox and F. Tonolini. - Jul. 2020: Excited to teach Deep Learning at Data Science Africa 2020!
- Jan. 2020: Our paper on Empirical Bayes Transductive Meta-Learning with Synthetic Gradients was accepted at ICLR!
- Nov. 2019: New pre-print on Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems with amazing colleagues from Amazon!