I am a PhD student in Computer Science at Tufts University where I work under the supervision of Dr. Vasanth Sarathy. I am generally interested in Natural Language Processing, and its intersection with social sciences and argumentation. I am also interested in fairness in NLP systems and how we can both assess and mitigate biases in Large Language Models.

Prior to Tufts, I was a master’s student in computer Science at Worcester Polytechnic Institute where I worked with Dr. Rose Bohrer on Linear Logic Programming and its applications to exploit detection in Software Systems.

I love talking about all-things NLP (also video games, fantasy and sci-fi books, and sports) and I am open to collaboration. Feel free to drop me an email.

News

I will be serving as a reviewer for AISTATS 2025 in the Natural Language Processing (NLP) track.

I will be serving as a reviewer for ICLR 2025 in the Natural Language Processing (NLP) track.

I will be attending EMNLP 2024 to present our latest paper titled ““Let’s Argue Both Sides”: Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilities” at the Workshop on Customizable NLP.

Publications

“Let’s Argue Both Sides”: Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilities (Kaveh Eskandari Miandoab and Vasanth Sarathy)

DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias (Zakizadeh et al., Findings 2023)