Jake Vasilakes
Scholar

Jake Vasilakes

Google Scholar ID: kxAdCsoAAAAJ
University of Sheffield
natural language processingmachine learningartificial intelligence
Citations & Impact
All-time
Citations
269
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • PhD thesis publicly available in December 2024; Joined the University of Sheffield as a Research Associate in NLP in December 2023; An extension of work for the n2c2 shared task accepted for publication in the Journal of Biomedical Informatics in March 2023; Attended LxMLS machine learning summer school in Lisbon, Portugal in July 2022; Participated in the n2c2 2022 challenge on contextualized information extraction, to appear at AMIA 2022; Got third place in the end-to-end NER + Event Detection + Context Classification task in November 2022; Published work with colleagues at the University of Minnesota on discovering novel dietary supplement interactions from the scientific literature in the Journal of Biomedical Informatics in June 2022; Published first-year PhD work on disentangled text representation learning in ACL 2022 in May 2022; Helped organize the first workshop on Computational Approaches to Mental Health @ ICML in July 2021; Began PhD at the University of Manchester and won the President’s Doctoral Scholar award in October 2020.
Research Experience
  • Postdoc researcher at the University of Sheffield as part of the GATE team since 2023; Started PhD at the University of Manchester in October 2020.
Education
  • Obtained a PhD in NLP from the University of Manchester in 2024, advised by Prof Sophia Ananiadou.
Background
  • A postdoc researcher in NLP, focusing on multi-lingual disinformation on social media. During his PhD, he researched methods to incorporate modality into information extraction systems for scientific and clinical text.
Co-authors
0 total
Co-authors: 0 (list not available)