I’m currently a Venture Fellow at Camford Capital where I work with an interdisciplinary team on several internal innovative initiatives related to Artificial Intelligence (AI) and Natural Language Processing (NLP) in the biomedical, clinical, and biological domains.
Prior to joining Camford Capital, I received my Ph.D. in Computer Science at The George Washington University (GWU) under the supervision of Dr. Mona Diab and Dr. David Broniatowski. My main areas of research were AI and NLP, and my dissertation was on “Advancing Identification of Causal Relations in Natural Language”. I worked on several projects including building large language models with commonsense reasoning and causal relation understanding capabilities, and analytical frameworks for understanding how individuals make various decisions on social media, including the spread of disinformation and misinformation.
News & updates
- GisPy Code Our paper GisPy: A Tool for Measuring Gist Inference Score in Text is accepted to the 4th Workshop on Narrative Understanding @ NAACL 2022.
- Code+Data Our paper Knowledge-Augmented Language Models for Cause-Effect Relation Classification is accepted to the Commonsense Representation and Reasoning (CSRR) @ ACL 2022.
- Code+Data Our paper ParsiNLU: A Suite of Language Understanding Challenges for Persian, the result of a great collaborative work, is accepted to the Transactions of the Association for Computational Linguistics (TACL), 2021 and will be presented at EMNLP 2021.
- I received the Linguistics Data Consortium’s (LDC) Fall 2020 Data Scholarship for my research in automatic detection of causal relations in text.
- I received the award for Best CS Graduate Research at Annual R&D Showcase at School of Engineering (SEAS) at the George Washington University (GWU).
- We received the Social Media and Democracy Research Grant from The Social Science Research Council (SSRC) for our project on “Identifying Best Practices to Correct Misinformation on Facebook”.