Andrius Vaitkus
the CDT in Data Intensive Science offered a unique opportunity of continuing my High Energy Physics research while also building my data analysis and machine learning skills
2 January 2020
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Supervisor(s): Dr Gabriel Facini
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Before starting my PhD at the CDT, I graduated with an MSci in Physics from here, the °×С½ãÂÛ̳. My Master's thesis involved parametrically constraining Beyond Standard Model theories using past LHC measurements, without explicit rigorous analysis. When it came to choosing my PhD, the CDT in Data Intensive Science offered a unique opportunity of continuing my High Energy Physics research while also building my data analysis and machine learning skills and providing me with work experience in industry. I work on various projects under the supervision of Dr. Gabriel Facini, including decorrelating the mass variable from the X->bb tagger using adversarial neural networks and optimising CPU timing of particle tracking in ATLAS Inner Detector, among others.Ìý
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First year group project:Ìý
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