- Conducting research under the guidance of Prof. Yian Yin on the integration of general science concepts (e.g., the pivot penalty) with domain-specific data.

- Member of Cornell's premier pre-professional government society.- Undergoing New Member Education Series on policy briefing, advocacy, pitches, and other soft skills.

- Studied algebraic topology (Program II) at college junior course level; self-studied and applied computational topology to examine computer networks- Researched Topological Data Analysis (TDA) on IPFS, a distributed file system aimed to decentralize and democratize the Web- Delivered a final presentation on network security and connectivity analysis, deemed “exceptional in quality and well organized”

- Participated as the only high school student in an 18-week experimental program with 33 researchers (median age ~30) on social and technical protocols.- Conceptualized a simulation model, Protocol Oracle, to study the evolution of governance protocols, especially democratic ones- Utilized ChatGPT as agents to simulate human behaviors and blockchain smart contracts to encode governance protocols

- Conducted research on brain tumor segmentation under Prof. Xiaofeng Liu using machine learning.- Assisted in developing a self-training scheme for Unsupervised Domain Adaptation (UDA), presented at NeurIPS 2022 workshop. The scheme uses high-confidence outputs as pseudo-labels to adapt models to new domains. - Contributed to the design of a federated learning scheme to address data privacy issues in medical AI, accepted by IPMI 2023. The scheme allows for model training across multiple institutions without sharing patient data.