Sotabase

Career

· Senior Scientist, Aspia Space2024–
· ML And Project Lead, Frontier Development Lab2020–
· Senior Research Fellow, University of Oxford2020–2024
· Applied Research Scientist, Element AI2018–2020
· Senior Data Scientist, Digital Shadows2016–2018
· Data Scientist, Microsoft2015–2016
· Postdoctoral Researcher, University College London2012–2015
· Doctor of Philosophy (Ph.D.), Machine Learning, The University of Sheffield2009–2012
· PHD Graduate Student, University of Sheffield2009–2012
· Master of Science (MSc), Artificial Intelligence, Distinction, The University of Edinburgh2008–2009
· Software Engineering Intern, Philips Healthcare2006–2006
· Bachelor of Science (BSc), Industrial Informatics, 1:1, Technological Educational Institute of Kavala2002–2007

Publications (22)

A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression
BMC Bioinformatics · 2011
104
cited
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation
Isprs Journal of Photogrammetry and Remote Sensing · 2021
58
cited
The Bigraphical Lasso
International Conference on Machine Learning · 2013
46
cited
A large-scale crowdsourced analysis of abuse against women journalists and politicians on Twitter
arXiv.org · 2019
32
cited
Residual Components Analysis
International Conference on Machine Learning · 2011
18
cited
HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion
2019
15
cited
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery
arXiv.org · 2020
13
cited
Flexible sampling of discrete data correlations without the marginal distributions
Neural Information Processing Systems · 2013
12
cited
Towards Data-Driven Physics-Informed Global Precipitation Forecasting from Satellite Imagery
2020
7
cited
Bayesian inference via projections
Statistics and computing · 2015
6
cited
Online joint classification and anomaly detection via sparse coding
International Workshop on Machine Learning for Signal Processing · 2014
5
cited
Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses
arXiv.org · 2019
5
cited
Image Inpainting with Gaussian Processes
2009
4
cited
Predicting Gaming Related Properties from Twitter Profiles
International Conference on Big Data Computing Service and Applications · 2016
4
cited
Physically Motivated Deep Learning to Superresolve and Cross Calibrate Solar Magnetograms
Astrophysical Journal Supplement Series · 2024
3
cited
Predicting Gaming Related Properties from Twitter Accounts
AAAI Conference on Artificial Intelligence · 2016
3
cited
Learning with structured covariance matrices in linear Gaussian models
2013
2
cited
Flexible Sampling for the Gaussian Copula Extended Rank Likelihood Model
arXiv.org · 2013
1
cited
Physics informed deep learning to super-resolve and cross-calibrate solar magnetograms
2021
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties
arXiv.org · 2019
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Freddie Kalaitzis | Researcher Profile | Sotabase | Sotabase