Thomas Vakili is a PhD student at the Department of Computer and Systems Sciences at Stockholm University. The focus of his research is Natural Language Processing. He is part of the DataLEASH project and his supervisor is Professor Hercules Dalianis.
He has a M.Sc. in computer science and engineering (civ.ing. i datateknik) from KTH Royal Institute of Technology. He also has industry experience from working as a IT consultant, primarily as a back-end developer and data engineer.
Accepted to LREC 2022.
Accepted to the workshop on Legal and Ethical Issues in Human Language Technologies @ LREC 2022.
Accepted to the Workshop on Terminology in the 21st century: many faces, many places @ LREC 2022.
Accepted to BioNLP @ ACL 2022.
In Proceedings of the AAAI 2021 Fall Symposium on Human Partnership with Medical AI: Design, Operationalization, and Ethics (AAAI-HUMAN 2021)
An extended abstract of my master's thesis presented at the 2020 workshop on RESOURCEs and representations For Under-resourced Languages and domains.
Bachelor's thesis at KTH (2016).
I am currently working on to what extent masked language models (such as BERT) leak sensitive information about their training data. Since BERT-style models are very common, especially for lesser-resourced languages, this could have significant privacy implications.
Don't hesitate to contact me if you are interested in collaborating!