Name: Menghao Guo
Email: menghao.guo.319@gmail.com
GitHub: https://github.com/JackKuo666
Huggingface: https://huggingface.co/jackkuo
Five years of AI experience: Currently a Research Specialist at Zhejiang Lab.
Expert in NLP, deep learning, and LLM applications: Led projects in text mining, knowledge graph construction, and multi-modal data integration, with a focus on leveraging LLM agents and AI for life sciences, including biocomputing, bioinformatics, and computational biology. Specialized in: Protein and genome foundation models, Multi-agent systems for life sciences data mining, Bioinformatics analysis and database construction, Drug repurposing, and Genomics-based personalized medicine.
Open-source contributor: Actively contributed to open-source projects such as AllenNLP and MindSpore by enhancing model performance and functionality.
Biocomputation projects: Involved in AMP-SEMiner, CRISPR-Cas Systems Discovery, Enzyme Kinetics Data Extraction (Enzyme Co-Scientist), and LLM Agent-based Chemical Literature Data Mining.
Diverse industry background: Extensive experience across Huawei (2012 Lab), Ant Group, Ping An Technology, China Tobacco Zhejiang Industrial, and the Research Center for Life Sciences Computing of Zhejiang Lab.
PhD goal: I am currently seeking a PhD position to expand my research on AI applications in life sciences, with a focus on developing data-driven solutions - integrating LLM agents with bioinformatics, causal inference, and reinforcement learning to advance precision medicine, enable drug repurposing, and optimize therapeutic strategies while delivering genotype-tailored recommendations.
Master’s Degree in Navigation, Guidance and Control
Northeastern University, China (Sep 2017 – Jan 2020)
Focused on unsupervised deep learning, multitask learning, and visual odometry.
Bachelor’s Degree in Electronic Information Science and Technology
Nanyang Normal University, China (Sep 2013 – Jun 2017)
Coursework in signal processing, software programming, and mathematical modeling.
Zhejiang Lab | Research Specialist
Mar 2022 – Present
Leading and collaborating on various AI and bioinformatics projects, with a focus on LLM applications and data-driven solutions.
China Tobacco Zhejiang Industrial Co., Ltd. | Algorithm Researcher
Aug 2020 – Mar 2022
Applied machine learning and spectral analysis techniques to optimize tobacco quality, integrating heterogeneous data sources to develop predictive models.
Huawei Communication Technology Co., Ltd. | Algorithm Engineer
May 2020 – Aug 2020
Optimized deep learning frameworks, including MindSpore, for NLP applications such as BERT, enhancing model training efficiency and scalability.
Zhejiang Ant Micro Financial Service Group | NLP Algorithm Engineer (Intern)
Jun 2019 – Sep 2019
Developed multi-task learning enhancements within the AllenNLP framework, improving model robustness in dialogue and data extraction tasks.
Ping An Technology (Shenzhen) Co., Ltd. | NLP Algorithm Engineer (Intern)
Oct 2018 – Jan 2019
Built an information extraction system for contract review using BERT and rule-based methods, advancing practical applications of NLP in structured data analysis.
LLM Literature Extraction: Led a project to develop prompt design and model fine-tuning techniques for automatic extraction of key scientific data from literature, enabling scalable biomedical data mining (A scientific paper published).
Knowledge Graph Construction: Integrated LLM-Agents with knowledge graphs in the KOSA project to fuse multi-source data into complex relational networks (A scientific paper published).
Enzyme Kinetics Extraction (Enzyme Co-Scientist): As co-first author, developed an LLM-based framework that extracted over 91,000 enzyme kinetics entries from ~3,500 papers with high accuracy (A manuscript has been preprinted and is under review).
AMP-SEMiner: As co-first author, created a framework using Protein Language Models to discover 1.6 million antimicrobial peptide candidates by integrating genomics, molecular dynamics, and LLM technology (A manuscript has been preprinted and is under review).
SLMP Platform: Proposed and implemented an LLM-powered platform for automated literature summarization, keyword extraction, and article analysis (A scientific paper published).
Chemical Literature Mining: Contributed to an LLM Agent system for extracting reaction predictions and molecular properties from chemical literature (A manuscript has been preprinted).
CRISPR-Cas Discovery: Participated in leveraging foundation models to identify novel Casλ homologs for advancing gene editing research (A scientific paper published).
Programming: Python, Java, C/C++, JavaScript
NLP & AI: Proficient with LLMs (e.g., GPT-4o, DeepSeek-R1, BioBERT), BERT variants, and classical NLP techniques (HMM/CRF, LDA, word2vec, FastText)
Frameworks & Tools: HuggingFace, TensorFlow, PyTorch, Docker, Git
Data & Graph Analysis: Pandas, NumPy, Matplotlib, Neo4j, RDF, SPARQL
Advanced Techniques: RL, Multi-Agent Coordination, Causal Inference, KG Construction
Menghao Guo, et al. “Investigations on scientific literature meta information extraction using large language models.” IEEE ICKG 2023.
Menghao Guo, et al. SLMP: A Scientific Literature Management Platform Based on Large Language Models. IEEE ICKG 2024.
Fei Huang, et al., Menghao Guo, et al., “KOSA: KO enhanced salary analytics based on knowledge graph and LLM capabilities.” IEEE ICDMW, 2023.
Jinling Jiang†, Jie Hu†, Siwei Xie†, Menghao Guo†, et al. Enzyme Co-Scientist: Harnessing Large Language Models for Enzyme Kinetic Data Extraction from Literature. preprint and under review at Nature Computational Science.
Wenhui LI†, Baicheng Huang†, Menghao Guo†, et al. “Unveiling the Evolution of Antimicrobial Peptides in Gut Microbes via Foundation Model-Powered Framework”. preprint and under review at Cell Reports.
[Preprints] Chen, K., et al., Menghao Guo, et al. “An Autonomous Large Language Model Agent for Chemical Literature Data Mining.” (arXiv)
Li, W., et al., Menghao Guo, et al.”Discovering CRISPR-Cas System with Self-processing Pre-crRNA Capability by Foundation Models.” Nature Communications (2024).
[Master Thesis] Menghao Guo. Research on Visual Odometry Algorithm Based on Unsupervised Deep Learning [D]. 2020.
(†Co-first author)
Certifications: Advanced Information Systems Project Manager (2024)
Honors: Zhejiang E-Class Talent (2024)
Conferences: Oral presentations at IEEE ICKG, ICDM workshops
Patents: 11 related to tobacco quality optimization and biotech algorithms. [Search in Google Patents]