Jessica Tang

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▹ My research focuses on aligning intelligent systems with human values and developing interpretability and verification methods that support AI policy and governance.

▹ I am a fourth year Machine Intelligence student in Engineering Science at the University of Toronto.

▹ Previously, I interned at Microsoft Research, where I led a project on multi-agent interpretability and influence tracing.

▹ I founded illuminAI, a community exploring the intersection of computer science, art, and the societal impacts of AI.

▹ Outside of research, I perform and write songs!

Large Language Models

Optimizing a Margin of Safety via Prompt Repair for Large Language Models.
Jessica Tang, Silviu Pitis, Sheila McIlraith. Machine Ethics workshop at AAAI 2026.
Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering. [Code]
Jessica Tang, Ali Abedi, Tracey JF Colella, Shehroz Khan. ARIAL workshop at IJCAI 2025.

Other

Spatio-temporal Multimodal Wildfire Spread Prediction: Exploring Vision Transformers and Lightweight Models.
Jessica Tang, Hibah Hussain, Natasha Yang (equal contribution). ECE324 Final Project 2025.
Deep Reinforcement Learning Controller for Indoor Farming. 🪷 Best presenter award.
Jessica Tang. International Student Conference on Artificial Intelligence 2021.
Modular Can-Sized Satellite System with Active Attitude Control.🪷 Outstanding Paper Award.
T. Cai, K. Howard, B. Zhou, J. Tang, V. He, D. Liu. European Space Agency, International CanSat Competition, 2022.