Shutian Ma

NLP | LLMs | Machine learning & Deep learning

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1600 Whitewood Dr

San Jose, CA 95131

šŸ‘‹ Hi, I’m Shutian! A researcher by day, code explorer by night, and a lifelong learner in between. I navigate the world of machine learning, NLP, and a bit of leetcode.

Yes! I’m open to new opportunities! šŸš€ I learn fast and adapt even faster. If you’re looking for an NLP/machine learning engineer, let’s connect! ā˜•šŸ’»

I was a NLP engineer at Tencent for three years. Before that, I interned at ByteDance and a now-defunct startup. I also did a short stint at Wuxi Lead Intelligent Equipment, on improving an industrial Q&A system.

Currently, I’m a GenAI Language Annotation Specialist at Meta, contributing to Simplified Chinese LLM data annotation for generative AI evaluation. I’m also working with Axon, focusing on audio LLM research and experiments, including audio data processing and model evaluation.

I earned my Ph.D. in Information Science at Nanjing University of Science and Technology under Prof. Chengzhi Zhang in 2021 and was a visiting scholar at Indiana University Bloomington , advised by Prof. Xiaozhong Liu and Prof. Katy Bƶrner.

news

Feb 27, 2025 Our paper ā€œKEDRec-LM: A Knowledge-distilled Explainable Drug Recommendation Large Language Modelā€ is avaliable on arxiv now! In this study, we utilize open-source drug knowledge graphs, clinical trial data, and PubMed publications for the explainable drug discovery task using LLMšŸš€
Feb 01, 2025 Our paper ā€œCitation Recommendation based on Argumentative Zoning of User Queriesā€ is accepted by Journal of Informetrics!