职称：研究员
研究方向：基于人工智能和信息学的天然产物筛选
Email：fanlin@fyust.edu.cn
长期从事计算生物学与生物信息学研究。研究方向包括人工智能在基因组学、DNA序列特征分析，以及植物活性小分子筛选等领域的应用。于美国University of Oklahoma取得博士学位，于美国Carnegie Institution for Science从事博后研究，曾在硅谷初创企业Brightseed Inc和世界500强企业Thermo Fisher Scientific任资深生物信息科学家，具有丰富产业经验。部分学术成果发表于National Science Review，Molecular Plant，ACL BioNLP。发表论文共13篇，被引用600余次，H index 9。
University of Oklahoma 植物生物学 博士
东北师范大学 生物技术 学士
聚焦于AI驱动的生物医学知识发现，包括基于大语言模型的生物医学文献挖掘，以及面向药物发现的植物天然产物筛选。研究目标是从文献、数据库和分子结构数据中提取可验证知识，构建知识图谱，辅助脑部疾病机制解析、靶点发现和活性化合物优先级排序。
1. Lin, F. , Yu, K.(2025) LaySummX at BioLaySumm: Retrieval-Augmented Fine-Tuning for Biomedical Lay Summarization Using Abstracts and Retrieved Full-Text Context. Proceedings of the 24rd Workshop on Biomedical Language Processing, ACL 2025
2. Wu ,Y., Lin, F., Zhou, Y., Wang, J., Sun, S., Wang, B., et al. (2021). Genomic mosaicism due to homoeologousexchange generates extensive phenotypic diversity in nascent allopolyploids. National Science Review 8 (16):277.
3.Saha, P*., Lin, F.*, Thibivilliers,S., Xiong, Y., Pan C., Bartley,L. (2021). Phenylpropanoid biosynthesis geneexpression precedes lignin accumulation during shoot development in lowland and upland switchgrassgenotypes. Frontiers in Plant Science 12, 640930
4. Lin, F., Lazarus, E.Z., and Rhee, S.Y. (2020). QTG-Finder2: a generalized machine-learning algorithm for prioritizing QTL causal genes in plants. G3: Genes, Genomes, Genetics 10, 2411-2421.
5. Kirk, A.L., Clowez, S., Lin, F., Grossman, A.R., and Xiang, T. (2020). Transcriptome reprogramming of Symbiodiniaceae Breviolum minutum in response to casein amino acids supplementation. Frontiers in Physiology 11:574654
6. Zhao, K., Lin, F., Romero-Gamboa, S.P., Saha, P., Goh, H.-J., An, G., et al. (2019). Rice genome-scale network integration reveals transcriptional regulators of grass cell wall synthesis. Frontiers in Plant Science 10, 1275.
7. Lin, F., Williams, B.J., Thangella, P.A., Ladak, A., Schepmoes, A.A., Olivos, H.J., et al. (2017). Proteomics coupled with metabolite and cell wall pro ling reveal metabolic processes of a developing rice stem internode. Frontiers in Plant Science 8, 1134.
8. Lin, F., Manisseri, C., Fagerström, A., Peck, M.L., Vega-Sánchez, M.E., Williams, B., et al. (2016). Cell wall composition and candidate biosynthesis gene expression during rice development. Plant and Cell Physiology 57, 2058-2075.
