- Three papers accepted to EMNLP 2025: CEMTM and ChartGaze (main proceedings), and FM²D
- Master's thesis introduced two novel methods: CEMTM, a topic modeling technique for long documents that integrates contextual embeddings and cross-modal alignment, and FM²DS, a synthetic-data-generation pipeline to support multimodal, multi-hop question answering in low-resource settings
Research Experience
- Visiting research scientist at ServiceNow Research since May 2024
- Collaborated with researchers from leading research groups such as Google, Salesforce AI, and ServiceNow Research
- Contributed to back-end development projects at System Group (Summer 2022) and MateMachine (November 2022 - November 2023)
Education
- PhD student at the University of British Columbia (UBC), supervised by Prof. Giuseppe Carenini and Prof. Peter West
- Master of Science in Computer Science from UBC, supervised by Prof. Giuseppe Carenini and Prof. Issam H. Laradji, thesis titled: 'Multimodal Understanding of Long Documents: From Topic Modeling to Question Answering'
- Bachelor of Science in Computer Engineering from the University of Tehran, collaborated with Prof. Azadeh Shakeri, Prof. Yadollah Yaghoobzadeh, and Prof. Behnam Bahrak
Background
Research interests span natural language processing, linguistics, and human-centered artificial intelligence. Specifically, fascinated by natural language inference and reasoning, long multimodal document reasoning, controlled generation, information retrieval, and deep research–related challenges.
Miscellany
Enthusiastic about reading novels and comics; enjoys exploring the natural beauty of Vancouver, such as hiking in the forest, walking along the beach, or watching a colorful sunset