_QZ

Qing Zhong / 钟晴

Make computers go bee‑boo into useful things.

I'm a recent M.S. graduate in Computer Science from Tufts University, with a B.S. in Information Technology from Northeastern University.

Previously at Tufts HCI Lab under Prof. Robert Jacob, I worked on research topics in Human-AI Interaction. My work focused on exploring how AI systems influence human cognition using fNIRS and EEG, and on designing interpretable and adaptive user interfaces.

My current research interests include Human-AI Interaction, Large Language Models, Brain-Computer Interfaces, and the design of trustworthy and interpretable systems.

Recent Updates

2025.04 Extended abstracts accepted to the Neuroadaptive 2025 conference.

2024.05 Started at HCI Research at Tufts HCI Lab.

2023.01 Started my master’s studies at Tufts University.

2022.09 Graduated Cum Laude, Northeastern University, 2022.

Publications

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Neuroadaptive Technology 2025

LLM-Tools' Effects on Users During Complex Decision-Making with fNIRS (Extended Abstract) [PDF]

M. Russell, Q. Zhong, K. Zheng, K. Hu, J. Santaniello, and R. J. K. Jacob.

Projects

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Scholar AI - LLM based RAG System

A LLM-based RAG academic literature retrieval system with intelligent document parsing and real-time streaming responses.

MedSafe AI Agent

Medsafe Checker helps healthcare professionals quickly identify potential drug interactions and provides referenced safety advice using RAG, Milvus hybrid search, and large language models.

Medical LLM Reasoning

Fine-tuned Meta‑Llama‑3.1‑8B‑Instruct on a medical QA dataset using LoRA and 8‑bit quantization.