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<!DOCTYPE html>
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<title>Nikolaos (Nikos) Nikolaou</title>
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<li><a href="/cv">CV</a></li>
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<h1>Nikolaos (Nikos) Nikolaou</h1>
<p><img alt="Nikos Nikolaou, Photo by © UCL Educational Media." src="/files/Nikos2.jpg" border="30" width="220" align="left">
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<br>
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 <a href="/interests">Interests</a> page for more details on my research.
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<p>I am part of <a href="https://www.linkedin.com/company/ucl-centre-for-data-intensive-science/?originalSubdomain=uk">UCL's Centre for Data Intensive Science & Industry (DISI)</a>. I am serving as the Director of Teaching and co-Director of Admissions for <a href="https://www.ucl.ac.uk/data-intensive-science-cdt/">UCL's Centre for Doctoral Training in Data Intensive Science (CDT-DIS)</a>
and the module lead for PHAS0077 (MSc Reseach Project) and Deputy Director for <a href="https://www.ucl.ac.uk/physics-astronomy/study/postgraduate-degrees/msc-scientific-and-data-intensive-computing">UCL's MSc in Scientific and Data Intensive Computing (MSc SDIC)</a>.
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My previous work included theory & applications of machine learning. On the theory side, I explored
cost-sensitive learning, ensemble learning, feature selection, causal inference, uncertainty quantification
& interpretability of predictive models. Application areas included smart memory controller design, clean
energy, exoplanet detection & characterization, planetary science & earth observation. I also 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.
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<h2>Former Posts</h2>
<p>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 <a href="https://exoai.github.io/about/">ExoAI ERC project team</a>
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 <a href="https://arielmission.space">ESA-M4 Ariel Space Mission</a>
and participate in projects of the <a href="https://www.ucl.ac.uk/space-exochemistry-data/">UCL Centre for Space Exochemistry Data (UCL-CSED)</a>.
Before this, I was an EPSRC Postdoctoral Prize Fellow at the University of Manchester.
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<ul>
<li><a href="mailto:[email protected]">Email</a></li>
<li><a href="https://github.com/nnikolaou">Github</a></li>
<li><a href="https://www.linkedin.com/in/nikos-nikolaou-60931986/">LinkedIn</a></li>
<li><a href="https://www.researchgate.net/profile/Nikos_Nikolaou5">Researchgate</a></li>
<li><a href="https://scholar.google.com/citations?user=R6b6Rp8AAAAJ&hl=en">Google Scholar</a></li>
<li><a href="https://www.ucl.ac.uk/astrophysics/people/dr-nikolaou-nikolaos-research-associate">Contact</a></li>
<li><a href="http://www.cs.man.ac.uk/%7Enikolaon/index.html">Manchester Page</a></li>
<li><a href="https://twitter.com/NikosNi41644559">Twitter</a></li>
<li><div itemscope itemtype="https://schema.org/Person"><a itemprop="sameAs" content="https://orcid.org/0000-0001-8453-7574" href="https://orcid.org/0000-0001-8453-7574" target="orcid.widget" rel="me noopener noreferrer" style="vertical-align:top;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" style="width:1em;margin-right:.5em;" alt="ORCID iD icon">https://orcid.org/0000-0001-8453-7574</a></div></li>
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