Scholar
Nikolaos Nikolaou
Google Scholar ID: R6b6Rp8AAAAJ
Lecturer in Data Intensive Science, UCL
Citations & Impact
Citations
363
H-index
11
i10-index
11
Publications
20
Co-authors
64
list available
Publications
Resume (English only)
Academic Achievements
- Insufficient information provided.
Research Experience
- Currently part of UCL's Centre for Data Intensive Science & Industry (DISI). 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 Research Project) and Deputy Director for UCL's MSc in Scientific and Data Intensive Computing (MSc SDIC). Former Senior Data Scientist at AstraZeneca, focusing on applying machine learning & data science methods to provide actionable insights at various stages of the pharmaceutical development at AstraZeneca's Oncology branch. 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. 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).
Education
- Former EPSRC Postdoctoral Prize Fellow at the University of Manchester. Specific details on degrees, schools, and advisors are not provided.
Background
- 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.
Miscellany
- No information provided about personal interests or hobbies.
