Experience

Harvard Medical School

Incoming Postdoctoral Research Fellow · Starting October 2026 · Boston, US
Department of Biomedical Informatics · Mentor: Prof. Marinka Zitnik

Meta

Research Scientist Intern · May – September 2025 · Menlo Park, US
Advisors: Dr. Yinglong Xia and Yuming Liu

• Integrated social graphs with large language models for large-scale recommendation, published as ConnectionMind (CIKM 2026)

Amazon

Applied Scientist Intern · June – September 2024 · Palo Alto, US
Advisor: Dr. Yaochen Xie

• Graph retrieval-augmented generation
• Improving LLM reasoning with graphs, published as Reasoning with Graphs (ACL Findings 2025)

Okinawa Institute of Science and Technology (OIST)

Research Intern · May – July 2023 · Okinawa, Japan
Advisor: Dr. Makoto Yamada

• Active learning for graph neural networks, published as Structural Fairness-aware Active Learning (ICLR 2024)

TigerGraph

Research Intern · May – August 2022 · US
Advisor: Dr. Bill Shi

• Implemented link prediction and recommendation inside TigerGraph
• Designed an efficient graph neural network for large-scale graphs

Meituan-Dianping

Research Intern · September 2019 – March 2021 · Beijing, China
Advisors: Dr. Fuzheng Zhang and Mengdi Zhang

• Built a library of graph-embedding methods supporting large-scale training and evaluation on business data
• Designed STGCN, a graph framework for spatially-aware, temporally-dependent POI recommendation (ICDM 2020)

ByteDance

Research Intern · September 2017 – July 2018 · Beijing, China
Advisor: Dr. Tengfei Bao

• Optimized the LDA topic model to produce more precise topics for the recommender system
• Designed a faster Chinese word-segmentation algorithm that was integrated into ByteDance’s production pipeline