Scholar
George Panagopoulos
Google Scholar ID: 6PLvpVMAAAAJ
University of Luxembourg
Citations & Impact
Citations
951
H-index
12
i10-index
12
Publications
20
Co-authors
18
list available
Publications
Resume (English only)
Research Experience
- Postdoctoral Scientist, University of Luxembourg, January 2024–Present; Supervised by Prof. Jun Pang
- Applied Scientist, Amazon, December 2022–June 2023
- Applied Scientist Intern, Amazon, April 2022–October 2022
- Research Engineer, École Polytechnique, June 2018–March 2022
- Teaching Assistant, University of Houston, August 2017–May 2018; Taught Statistical Methods in Research and Software Engineering
- Research Assistant, University of Houston, August 2016–May 2017
- Research Associate, Institute of Informatics and Telecommunications, NCSR Demokritos, September 2014–July 2016
- Software Engineering Intern, NCSR Demokritos, June 2013–September 2013
Background
- Research interests include relational machine learning, causal inference, and information retrieval
- Focuses on machine learning methods for causal inference in large-scale heterogeneous data from biomedical and commercial settings
- Exploring active and online learning methods for experimentation in clinical trials and e-commerce applications
- Previously worked on combinatorial optimization, forecasting, classification, and epidemic-spreading problems
- Has worked with diverse graph data including social, logistics, epidemic, molecular, product, protein, coauthorship, word, and brain graphs
- Experienced in NLP for long/short texts and digital signal processing for statistical inference from wearable sensors or neural signals
