I am a faculty member in the Department of Computer Engineering at Bogazici University, and co-director of TABI (Text Analytics and Bioinformatics) Lab. I'm also a member of the AILAB. My research is at the intersection of bioinformatics and natural language processing with the goal of developing algorithms for processing and understanding both natural (human) languages and the languages encoded in biological molecular sequences.

Short Bio:

I joined the Department of Computer Engineering at Bogazici University in 2011. Prior to that I worked in the Faculty of Computer and Informatics at Istanbul Technical University between 2010-2011. I received my Ph.D. degree in Computer Science and Engineering from the University of Michigan, Ann Arbor, USA in 2010. I hold an M.S. degree and a B.S. degree in Computer Engineering from Bogazici University.

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  • Gokce Uludogan presented "Exploiting Pretrained Biochemical Language Models for Targeted Drug Design" at ECCB 2022 in Barcelona, Spain. The paper is published at the Bioinformatics journal.
  • Arzucan Ozgur serves in the Organizing Committee of RECOMB 2023, which will take place in İstanbul between 14-19 April 2023.
  • Arzucan Ozgur will be serving as Vice Chair for the IAPR Technical Committee on Pattern Recognition for Bioinformatics and Digital Health between 2022-2024.
  • New paper co-authored by Merve Unlu Menevse, Yusufcan Manav, Ebru Arisoy, and Arzucan Ozgur entitled "A Framework for Automatic Generation of Spoken Question-Answering Data" is accepted to the Findings of EMNLP 2022.
  • Saziye Betul Ozates successfully defended her PhD thesis entitled "Deep Learning-based Dependency Parsing for Turkish".
  • Our project, entitled "Utilizing Digital Technology for Social Cohesion, Positive Messaging and Peace by Boosting Collaboration, Exchange and Solidarity," is funded by EuropeAid. The project, led by the Hrant Dink Foundation (HDV), is a collaboration between HDV, Bogazici University, and Sabanci University. Our main task will be to develop NLP methods to identify hate speech in social media.