Announcements

Below you’ll find a history of recent announcements.

• 🗓️ Quantum Week 2026 (August 2026): I will be attending the IEEE Quantum Week 2026 in Toronto, Canada. I am very excited to present my work at the DQC-SI workshop!
• ⚛️ DQC Evaluation Paper (July 2026): My paper Towards Reproducible Evaluation of Distributed Quantum Circuit Partitioning Algorithms has been accepted for publication at the IEEE QCE 2026 Workshop: Distributed Quantum Computing Systems and Infrastructure. [Update (August 2026)] Preprint is now available in the arXiv.
• 🌟 Master’s Thesis (September 2025): I successfully completed my Master’s degree with the defense of my thesis and the presentation of my paper, CienaLLM: Automated Extraction of Climate Impact from News Articles using Large Language Models. You can find the publication in the Publications section of this website. [Update (December 2025)]: Preprint is now available in the arXiv.
• 🗓️ Quantum Week (September 2025): I will be attending IEEE Quantum Week 2025 in Albuquerque, New Mexico. Excited to connect with fellow researchers and learn about the latest advances in quantum computing!
• 🧑‍🏫 Workshop (July 23, 2025): I presented a workshop on Structured Information Extraction using Large Language Models to my colleagues at the Pyrenean Institute of Ecology. The workshop covered technical details of using LLMs for extracting structured data from unstructured text. You can find the workshop materials in the GitHub repository.
• 🎓 PhD Announcement (July 15, 2025): Starting Fall 2025, I will begin a PhD in Computer Science at Worcester Polytechnic Institute (WPI) with Prof. Tian Guo. I will work on an NSF-funded project in quantum cloud computing, focusing on algorithms and resource management tools to make quantum computing more accessible. Read more
• 📝 Conference Paper (February 6, 2025): Distributed Simulation with Efficient Fault Tolerance was published online as part of GECON 2024. The paper proposes a replication-based approach to fault tolerance in distributed simulation, achieving minimal overhead in cloud environments. You can read it here, and it is also listed in the Publications section of this website.