My research revolves around advancing methods in high-throughput interference genomics, harnessing artificial intelligence in systems biotechnology, and exploring DNA information storage technology. These endeavors are situated at the intersection of biotechnology and information technology (BT-IT). I am dedicated to advancing strategies that intersect biology and computation techniques to address challenges in the characterization, understanding, design and optimization of complex biological systems, and large-scale data storage. To date, I have published over 20 research papers in reputable journals such as Nature Communications, Engineering, National Science Review, ACS Synthetic Biology, Frontiers in Bioengineering and Biotechnology, and BMC Genomics. Additionally, I have applied for and been granted more than 10 patents in these research areas.
Education Experience:
2000/08 to 2004/07, Bachelor's degree，Shandong University, Pharmaceutical Engineering
2004/08 to 2007/07, Master's degree, Shandong University, Fermentation Engineering
2011/08 to 2012/09, Tianjin University, Systems Biotechnology
2012/10 to 2018/05, Hamburg University of Technology (TUHH), Systems Biotechnology
Work Experience:
2022/10 to now, Associate Professor (PhD Supervisor), Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin
2019/02 to 2022/01, Assistant Professor (Category A), School of Chemical Engineering, Tianjin University
2018/06 to 2018/09, Research Assistant, Soft Matter High-End Center, Beijing University of Chemical Technology
2010/07 to 2011/07, Visiting Scholar, Hamburg University of Technology (TUHH)
2008/11 to 2011/09, Research Assistant, Institute of Industrial Biotechnology, Tianjin
2007/08 to 2008/09, Bioinformatics Engineer, BGI
Outstanding doctoral dissertation, Hamburg University of Technology, 2018
Walkhoff prize, DGZ, Germany，2016
Best poster award, DECHEMA, Germany, 2015
1. Gong, Z.-Y.#, Song, L.#, Pei, G.-S., Dong, Y.-F, Li, B.-Z.*, Yuan, Y.-J. (2023): Engineering DNA Materials for Sustainable Data Storage Using a DNA Movable-Type System: Challenges and Opportunities. Engineering, doi: 10.1016/j.eng.2022.05.023.
2. Song, L.; Geng, F.; Gong, Z.; Li, B.; Yuan, Y* (2022): Robust data storage in DNA by de Bruijn graph-based decoding. Nature Communications, doi: 10.1101/2020.12.20.423642.
3. Song, L., Deng, Z.-H., Gong, Z.-Y., Li, L.-L. & Li, B.-Z.* (2021): Large-Scale de novo Oligonucleotide Synthesis for Whole-Genome Synthesis and Data Storage: Challenges and Opportunities. Front. Bioeng. Biotechnol., doi: 10.3389/fbioe.2021.689797.
4. Chen, W., Han, M., Zhou, J., Ge, Qi, Wang, P., Zhang, X., Zhu, S., Song, L., Yuan, Yingjin. (2021): An artificial chromosome for data storage. National Science Review. DOI: 10.1093/nsr/nwab028.
5. Song, L., & Zeng, A.-P. (2017): Engineering 'cell robots' for parallel and highly sensitive screening of biomolecules under in vivo conditions. Scientific reports, doi: 10.1038/s41598-017-15621-0.
6. Song, L., & Zeng, A.-P. (2018): Orthogonal Information Encoding in Living Cells with High Error-Tolerance, Safety, and Fidelity. ACS synthetic biology, doi: 10.1021/acssynbio.7b00382.
7. Song, L., Wang, W., Conrads, G., Rheinberg, A., Sztajer, H., Reck, M., et al. (2013): Genetic variability of mutans streptococci revealed by wide whole-genome sequencing. BMC genomics, doi: 10.1186/1471-2164-14-430.
8. Song, L., Sudhakar, P., Wang, W., Conrads, G., Brock, A., Sun, J., et al. (2012): A genome-wide study of two-component signal transduction systems in eight newly sequenced mutans streptococci strains. BMC genomics, doi: 10.1186/1471-2164-13-128.
Currently, I am leading one project under the National Key Research and Development Program, one project as part of the Synthetic Biology Innovation Capacity Enhancement Action in Tianjin, and one major research project within the key tasks of the Haihe Laboratory.
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