Mo El-haj
Associate Professor (Reader) In Data Science
Lancaster, England, United Kingdom
Summary
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Senior🎓
Top SchoolMo El-haj is an Associate Professor (Reader) in Data Science and head of the VinNLP research group, specializing in Arabic and multilingual NLP, financial NLP, and low-resource language technologies. With a PhD from the University of Essex and over a decade of academic and applied research experience, he has led interdisciplinary projects with major London financial institutions to build practical NLP solutions for financial text. His work spans summarization, information extraction, corpus linguistics and building ML-driven language tools, informed by early data-mining roles at the UK Data Archive. A seasoned educator and supervisor, he has taught and mentored students across institutions while directing research groups at Lancaster and VinUniversity. Notably, his doctoral focus on Arabic multi-document summarisation underpins a consistent interest in bridging cutting-edge models with underrepresented languages. Based in Lancaster, UK, he combines rigorous academic scholarship with hands-on deployments that impact both research and industry.
11 years of coding experience
14 years of employment as a software developer
MSc, Information Systems, 3.94/4.0, MSc, Information Systems, 3.94/4.0 at University of JordanDoctor of Philosophy (PhD), Computer Science, Pass, Doctor of Philosophy (PhD), Computer Science, Pass at University of EssexFellowship of the Higher Education Academy (FHEA) - Advance HE , UK, 2021., Higher Education/Higher Education Administration, FHEA, Fellowship of the Higher Education Academy (FHEA) - Advance HE , UK, 2021., Higher Education/Higher Education Administration, FHEA at Lancaster University
Arabic, English
Github Skills (17)
acl10
computational-linguistics10
phonetics10
java9
text-analysis9
natural-language-processing9
openjdk9
corpus-linguistics8
data-visualisation7
machine-learning6
jflap6
data-science6
data-visualization5
command-line-tool3
translation1
Programming languages (6)
Github contributions (5)
drelhaj/CFIE-FRSE
Dec 2016 - Nov 2020
CFIE Final Report Structure Extractor (FRSE) is a free tool to detect structure and extract contents from UK Annual Reports
Contributions:1 release, 42 commits, 40 pushes in 4 years
reportsreportannual-reportsdetectopenjdk
drelhaj/Java_WordCloud_LogLikelihood
Feb 2016 - Feb 2016
Contributions:32 commits, 42 pushes, 2 branches in 2 days
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