Nikolaos (Nikos) Nikolaou
I am a Lecturer (Assistant Professor) in Data Intensive Science at UCL's Department of Physics & Astronomy. My work revolves around the theory of
machine learning & data science models and algorithms, and their application to problems in Physics -primarily in various subareas of Astronomy & Clean Energy- and in Biomedicine. See my Interests page for more details on my research.
I am part of UCL's Centre for Data Intensive Science & Industry (DISI). I am serving as the Director of Teaching and co-Director of Admissions for UCL's Centre for Doctoral Training in Data Intensive Science (CDT-DIS)
and the module lead for PHAS0077 (MSc Reseach Project) and Deputy Director for UCL's MSc in Scientific and Data Intensive Computing (MSc SDIC).
Former Posts
In the past, I have worked as a Senior Data Scientist at AstraZeneca. My work there focussed on applying machine learning & data science methods to provide actionable insights at various stages of the pharmaceutical development at AstraZeneca's Oncology branch. I have collaborated with and continue to advise the ExoAI ERC project team at UCL on research projects involving the use of machine learning for detecting & characterizing exoplanets. I am also involved in the data analysis efforts of the ESA-M4 Ariel Space Mission and participate in projects of the UCL Centre for Space Exochemistry Data (UCL-CSED). Before this, I was an EPSRC Postdoctoral Prize Fellow at the University of Manchester.