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.
In Proceedings of the 18th Scandinavian Conference on Health Informatics (SHI 2022)
In Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022)
In Proceedings of the Legal and Ethical issues Workshop @ LREC2022
In Proceedings of the TERM21 Workshop @ LREC 2022
In Proceedings of the 21st Workshop on Biomedical Language Processing @ 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!