Tom Paskhalis
Assistant Professor In Political Science And Data Science
Dublin, Ireland
Summary
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Senior🎓
Top SchoolTom Paskhalis is an Assistant Professor in Political Science and Data Science with 11 years’ experience applying computational methods to political communication, statistical methodology, and social data science across academia and industry. He designs and teaches advanced courses (machine learning, quantitative text analysis, programming for social scientists), directs an MSc program, and has supervised 30+ student research projects while building international academic partnerships. His research at NYU and LSE combined large-scale social media measurement, ML models for media quality, and hands-on data engineering and annotation, producing work that connects technical methods to real-world electoral integrity questions. Comfortable presenting to both technical and non-technical audiences, he has a strong track record in securing research funding and translating complex methods into teachable modules, reflecting a rare mix of pedagogical skill and applied computational rigor.
11 years of coding experience
Diploma, Mathematics for Information Systems, Diploma, Mathematics for Information Systems at Saint Petersburg State UniversityLondon School of Economics and Political Science
English, Russian, Greek, German
Github Skills (52)
pdf-document10
twitter10
r-package10
pdf10
pdf-files10
twitter-api10
tabula10
ropensci10
pdfbox10
converter9
r9
text-analytics9
java9
corpus9
quanteda9
Programming languages (6)
Github contributions (5)
tpaskhalis/tpaskhalis.github.io
Dec 2015 - Dec 2023
Personal page of Tom Paskhalis
Contributions:2 PRs, 113 pushes, 3 branches in 8 years 1 month
tompersonal-page
tpaskhalis/ncomms_russia_us_2016
Sep 2022 - Jan 2023
Contributions:2 releases, 19 commits, 17 pushes in 3 months
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