I am a PhD candidate at the Technion-Israel Institute of Technology, advised by Yonatan Belinkov.
As a PhD student in the field of Natural Language Processing, I have a strong interest in improving the robustness and interpretability of deep neural models. My goal is to contribute to the development of new methods for evaluating, understanding and improving the robustness of NLP models, and creating models that are both effective and fair. I am particularly focused on using interpretability as a tool for improving our models, as I believe it will also make models more transparent and trustworthy.
I want to hear from you! Feel free to contact me for brainstorming and potential collaborations.
I completed my bachelors and my masters in the Technion. During masters, I was selected for the 2022 EMEA Generation Google Scholarship. Previously, I worked in Microsoft, for the cloud security research, where I worked on data-science problems and on the application of NLP for security products.
orgadhadas at gmail dot com