Researcher
- Participated a project focused on decision optimization in multi-agent systems, where we used Markov chains and game theory to simulate interactions among agents with limited resources.
- Conducting an in-depth literature review on the intricate links between human language systems and cognitive processes, with a focus on neural representations and language acquisition models.
- Drafting a research paper(This full-scaled article is expected to be published in journals in 2025) exploring the role of artificial intelligence in simulating world models, drawing parallels between human cognition and AI frameworks such as neural networks and reinforcement learning.
- Participated in study groups and workshops that dive into cutting-edge developments in AI and machine learning, including topics like natural language processing (NLP) and neural computational models of thought.
- Collaborating with peers on multi-disciplinary research projects that aim to bridge cognitive science and AI, focusing on themes like decision-making, perception, and learning in machines and humans.