Quanying Liu

Education
2013-2017 PhD in Biomedical Engineering, ETH Zurich, Switzerland (Doctoral thesis: “Brain Network Imaging based on High-density Electroencephalography”. Supervisors: Dr. Nicole Wenderoth and Dr. Dante Mantini)
2010-2013 Master in Computer Science, Lanzhou University, China
2006-2010 Undergraduate in Electrical Engineering, Lanzhou University, China

 

Academic Positions
2019.08- Tenure-track assistant professor in Department of Biomedical Engineering, Southern University of Science and Technology (PI of Neural Computing & Control lab)
2017-2019 Postdoctoral Scholar in Department of Computing and Mathematical Sciences (CMS), California Institute of Technology (Principal Investigator: Dr. John Doyle)
2017-2019 Independent researcher in Neurosciences, Huntington Medical Research Institute, US
2016-2017 Visiting Scholar in Research Center for Motor Control and Neuroplasticity, KU Leuven, Belgium
2016.10 Late-Summer School on Non-Invasive Brain Stimulation, University Medical Center Freiburg, Germany
2014-2015 Visiting Scholar in Department of Experimental Psychology, University of Oxford, UK

 

Grants and Fellowships
2018-2021 FWO Postdoctoral Fellowship (3 years)
2017-2019 Boswell Postdoctoral Fellowship ($54,075+$7,000 per annum for 2 years)
2015-2017 Swiss National Science Foundation for Doc.Mobility grant (45,500 CHF for one year)
2014-2015 Swiss National Science Foundation for Mobility grant (19,510 CHF for one year)

 

Awards and Scholarships
AAIC travel award (2019);
Estes Stars Award (2018);
Excellent Graduate Student Scholarship in China (2013);
IBM China Scholarship (2013);

 

Service
Review Editor for Frontiers in neuroscience, Frontiers in human neuroscience (2017-2019);
Reviewer for Scientific Reports (2018), Journal of neural engineering, International Journal of Neural Systems (2017)
Mentor for eCURE Mandatory Student Focus Group of Summer Internships (2018-2019)
Co-mentor for the SURF intern students at Caltech (2017-2019)

 

Journal Publications (including pre-print)
1)Liu Q, Farahibozorg S, Porcaro C, Wenderoth N and Mantini D (2017). Detecting large-scale networks in the human brain using high-density electroencephalography. Human Brain Mapping. 38 (9), 4631-4643
2)Marino M*, Liu Q*, Samogin J, Tecchio F, Mantini D, Porcaro C (2019). Neuronal dynamics enable the functional differentiation of resting state networks in the human brain, Human Brain Mapping, https://doi.org/10.1002/hbm.24458. (* equal contribution)
3)Nakahira Y*, Liu Q*, Sejnowski T, Doyle J.C. (2019), Fitts’ Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control, https://arxiv.org/pdf/1906.00905.pdf (* equal contribution)
4)Liu Q, Nakahira Y, Mohideen A, Dai A, Choi S.H, Pan A, Ho D.M, Doyle J.C. (2019), WheelCon: A wheel control-based gaming platform for studying human sensorimotor control, https://arxiv.org/abs/1811.00738 (arxiv)
5)Ruddy K.L, Balsters J, Mantini D, Liu Q, Kassraian-Fard P, Enz N, Mihelj E, Chander B, Soekadar S.R., Wenderoth N (2018), A different state of mind: neural activity related to volitionally up-versus downregulating cortical excitability, eLife, https://elifesciences.org/articles/40843
6)Liu Q, Ganzetti M, Wenderoth N, Mantini D, (2018). Detecting large-scale brain networks using EEG: impact of electrode density, head modelling and source localization, Frontiers in Neuroinformatics 12 (4)
Wu H, Feng C, Lu X, Liu X, Liu Q#, (2018). Oxytocin effects on the resting-state mentalizing brain network,

7)https://www.biorxiv.org/content/early/2018/11/08/465658 (# corresponding author, biorxiv)
8)Liu Q, Balsters JH, Baechinger M, van der Groen O, Wenderoth N and Mantini D (2015). Estimating a neutral reference for electroencephalographic recordings: the importance of using a high-density montage and a realistic head model. Journal of Neural Engineering 12(5): 056012.
9)Wei S, Liu Q, Harrington M.G, Sun J, Wu H, Liu X (2019). Nonconformist tendencies related to risky choices in female methamphetamine abstainers, The American journal of drug and alcohol abuse, 1-10
10)Zhao Q, Li H, Hu B#, Li Y, Gillebert C, Mantini D, Liu Q# (2017). Neural correlates of drug-related attentional bias in heroin dependence. Frontiers in Human Neuroscience. DOI: 10.3389/fnhum.2017.00646 (# corresponding author)
11)Zhao Q, Li H, Hu B#, Wu H, Liu Q# (2017). Abstinent heroin addicts tend to take risks: ERP and source localization. Frontiers in Neuroscience 11, 681 (# corresponding author)
12)Zhao Q, Jiang H, Hu B#, Li Y, Zhong N, Li M, Lin W and Liu Q# (2017). Nonlinear Dynamic complexity and Sources of Resting-state EEG in Abstinent Heroin Addicts. IEEE Transactions on NanoBioscience. DOI: 10.1109/TNB.2017.2705689 (# corresponding author)
13)Marino M, Liu Q, Koudelka V, Porcaro C, Hlinka J, Wenderoth N, Mantini D (2018). Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI, Scientific Reports (1), 8902
14)Marino M, Liu Q, Del Castello M, Corsi C, Wenderoth N, Mantini D (2018). Heart–Brain Interactions in the MR Environment: Characterization of the Ballistocardiogram in EEG Signals Collected During Simultaneous fMRI, Brain topography 31 (3), 337-345
15)Ganzetti M, Liu Q, Mantini D, (2018). A Spatial Registration Toolbox for Structural MR Imaging of the Aging Brain, Neuroinformatics, https://doi.org/10.1007/s12021-018-9355-3
16)Bächinger M, Zerbi V, Moisa M, Polania R, Liu Q, Mantini D, Ruff C and Wenderoth N (2017). Concurrent tACS-fMRI reveals causal influence of power synchronized neural activity on resting state fMRI connectivity. Journal of Neuroscience 1756-16
17)Cao J, Liu Q, Li Y, Yang J, Gu R, Liang J, Qi Y, Wu H, Liu X (2017). Cognitive behavioural therapy attenuates the enhanced early facial stimuli processing in social anxiety disorders: an ERP investigation. Behavioral and Brain Functions 13 (1), 12
18)Marino M, Liu Q, Brem S, Wenderoth N and Mantini D (2016). Automated detection and labelling of high-density EEG electrodes from structural MR images. Journal of Neural Engineering 13(15): 056003
19)Li X, Zhao Q, Liu L, Peng H, Qi Y, Mao C, Fang Z, Liu Q and Hu B. (2010). Improve Affective Learning with EEG Approach. Computing and Informatics 29(4): 557-570.

Yiming Li

Research Interest

Fluorescence microscopy has become the most widely used technique in cellular biology for noninvasive, time-resolved imaging with high molecular specificity. However, the diffraction of light limits the resolution of standard microscopes to ~200 nm, thus preventing detailed analyses of molecular structures. The development of PALM/STORM super-resolution microscopy (SRM) has pushed the boundaries of optical resolution to a few nanometers so that an optical analysis of the nano-biostructures has become possible.  Various labeling techniques, such as genetically encoded tags, immuno-labeling, fluorogenic tags and, for DNA, fluorescence in situ hybridization (DNA-FISH), allow biomolecules of interest to be specifically labeled, even enabling simultaneous visualization of multiple targets through multicolor imaging. Structural information of protein complexes and assemblies, which was previously only accessible to the classical structural biology techniques (EM, NMR, crystallography), can now be studied in situ by specifically labeled fluorescent probes using the existing standard fluorescence microscopes. However, the axial resolution of common 3D SRM is 40 – 70 nm, which cannot resolve many cellular structures, especially not on the level of structural biology. My overall aim is to push the resolution limit of this technique down to <10 nm in all 3D, enabling structural studies of large dynamic protein assemblies inside intact cells.  

Education
2010-2015 Ph. D., Biophysics, Karlsruhe Institute of Technology
2009-2010 M. Sc., Medical Physics, Heidelberg University
2005-2009 B.E., Biomedical Engineering, Shanghai Jiao Tong University

Employment

Expected, 2019.11 Department of Biomedical Engineering, Southern University of Science and Technology, Assistant Professor
2016-2019 European Molecular Biology Laboratory, Heidelberg, Postdoc

2016.02-2016.09 Yale University,Visiting Scholar

 

Honors and Awards
2013 International Symposium on Biomedical Imaging Travel Grant
2010-2013 Karlsruhe school of optics and photonics fellowship
2016-2019 EIPOD-Marie Curie Postdoc Fellowship

 

Publications

1.Yiming Li, Yu-Le Wu, Philipp Hoess, Markus Mund, and Jonas Ries. Depth-dependent PSF calibration and aberration correction for 3D single-molecule localization. Biomed. Opt. Express, 6, 2708-2718, (2019)
2. Yiming Li, Markus Mund, Philipp Hoess, Joran Deschamps, Ulf Matti, Bianca Nijmeijer,Vilma Jimenez Sabinina, Jan Ellenberg, Ingmar Schoen, Jonas Ries. Real-time 3D single-molecule localization using experimental point spread functions. Nat. Methods, 15, 367-369, (2018)

3.Yiming Li, Li Shang, G. Ulrich Nienhaus. Super-resolution imaging-based single particle tracking reveals dynamics of nanoparticle internalization by live cells. Nanoscale, 8, 7423-7429, (2016)

4.Yuji Ishitsuka, Natasha Savage, Yiming Li, Anna Bergs, Nathalie Grün, Daria Kohler, Rebecca Donnelly, G. Ulrich Nienhaus, Reinhard Fischer, Norio Takeshita. Superresolution microscopy reveals a dynamic picture of cell polarity maintenance during directional growth. Science Advances, 1, e1500947 (2016)

5. Yiming Li, Yuji Ishitsuka, Per Niklas Hedde, and G. Ulrich Nienhaus. Fast and efficient molecule detection in localization-based super-resolution microscopy by parallel adaptive histogram equalization. ACS Nano 7, 5207–5214 (2013)

6. Shuo Chen, Xiaorui Feng, Yiming Li, Chuanqing Zhou, Peng Xi, Qiushi Ren. Software Controlling algorithms for the system performance optimization of confocal laser scanning microscope. Biomed. Signal Process Control 3, 223-228 (2010)

7.Jervis Vermanl Thevathasan, et al., Nuclear pores as versatile reference standards for quantitative superresolution microscopy. BioRxiv, 582668, (2019)

8.Yongdeng Zhang, et al., Nanoscale subcellular architecture revealed by multicolor 3D salvaged fluorescence imaging. BioRxiv, 613174, (2019)

 

 

金大勇

金大勇, 2007年6月于澳大利亚麦考瑞大学获博士学位。曾先后任职于麦考瑞大学及悉尼科技大学,并于2017年晋升为悉尼科技大学杰出教授。现为南方科技大学生物医学工程系讲席教授。迄今共发表了百余篇高水平学术文章,包括十余篇原创性工作发表在《自然》及子刊中。他的专业领域涵盖了生物工程光学、纳米探针技术、生物医疗诊断、精密光学仪器、自动化等领域。并于2015年荣获澳洲科研最高奖尤里卡奖交叉学科创新奖,2016年当选澳大利亚百名科技创新领军人物,2017年荣获澳洲科学院工程科学奖以及同年荣获澳大利亚总理奖 – 年度物理学家奖。

 

教育背景

2007年-2008年  博士后 澳大利亚麦考瑞大学,物理系

2003年-2007年  博士学习 澳大利亚麦考瑞大学, 物理系

1998年-2002年  本科学习 辽宁师范大学,物理系

 

工作经历

2019年-至今:南方科技大学

2017-2022: 澳大利亚悉尼科技大学,杰出教授,生物医学材料及仪器研究所所长

2015-2017 澳大利亚悉尼科技大学,教授,生物医学材料及仪器研究所所长,澳大利亚国家可集成生物医疗仪器与技术转化基地所长

2014-2015 澳大利亚麦考瑞大学,化学及分子生物学系,副教授,澳洲基金委国家纳米生物光子学重点实验中心首席科学家

2013-2014 澳大利亚麦考瑞大学,化学及分子生物学系,高级讲师助教授,澳洲基金委杰出青年 Future Fellowship

2010-2013 澳大利亚麦考瑞大学,物理系,讲师助教授, 澳洲基金委研究员 (ARC APD Fellow) 先进细胞仪实验室主任

2009-2010 澳大利亚麦考瑞大学,物理系,讲师

2008-2009 澳大利亚麦考瑞大学,物理系,独立研究员

 

研究兴趣

生物工程光学、纳米探针技术、生物医疗诊断、精密光学仪器、自动化

 

主要国家级奖项

2017 作为第一个华人科学家获得澳大利亚总理奖—马尔科姆 麦金托什年度物理学家奖Prime Minister’s Prize for Science

2017 亚太经合组织成员国年度科学奖—澳大利亚提名奖 APEC Science Prize Australian Nominee

2016 被澳大利亚科学院授予工程科学2017年度人物奖章 John Booker Medal

2015 被《澳大利亚人报》,澳大利亚总理科技办公室,和澳洲知识社团提名为知识经济时代的百名开拓人物“Knowledge Nation 100”。其中包括澳洲总理Malcolm Turnbull

2015 杰出华人学者金大勇教授获澳大利亚科学最高荣誉尤里卡奖

 

代表性论文

1. Nature Communications (2018) – Chen C, Wang F, Wen S, Su Q, Wu M, Liu Y, Wang B, Li D, Shan X, Kianinia M, Aharonovich I, Toth M, Jackson S, Xi P, Jin D, “Multi-photon near-infrared emission saturation nanoscopy using upconversion nanoparticles”, 9(1), 3290.
2. Nature Photonics (2018) – Zhou J, Wen S, Liao J, Clarke C, Tawfik SA, Ren W, Mi C, Wang F, Jin D, “Activation of the surface dark-layer to enhance upconversion in a thermal field”, 12(3), 154–158.
3. Light: Science & Applications (2018) – Wang F, Wen S, He H, Wang B, Zhou Z, Shimoni O, Jin D, “Microscopic inspection and tracking of single upconversion nanoparticles in living cells”, 7 (4), 18007. Cover article. The method in this paper was named as the recommended imaging tool in Nature Methods (“Tracking nanoparticles by eye”, 15, 164 (2018))
4. Nature Methods (2018) – Jin D, Xi P, Wang B, Zhang L, Enderlein J, van Oijen J, “Nanoparticles for super-resolution microscopy and single-molecule tracking”, 15(6), 415–423.
5. Nature Communications (2018) – Wen S, Zhou J, Zheng K, Bednarkiewicz A, Liu X, Jin D, “Advances in highly doped upconversion nanoparticles”, 9(1), 2415.
6. Nature (2017) – Liu Y, Lu Y, Yang X, Zheng X, Wen S, Wang F, Vidal X, Zhao J, Liu D, Zhou Z, Ma C, Zhou J, Piper J, Xi P, Jin D, “Amplified stimulated emission in upconversion nanoparticles for super resolution nanoscopy”, Nature, 543(7644), 229–233.
7. Nature Communications (2016) – Liu D, Xu X, Du Y, Qin X, Zhang Y, Ma C, Wen S, Ren W, Goldys E, Piper J, Dou S, Liu X, Jin D, “Three-dimensional controlled growth of monodisperse sub-50 nm heterogeneous nanocrystals”, 7, 1–8.
8. Nature Nanotechnology (2015) – Zhou B, Shi B, Jin D, and Liu X, “Controlling upconversion nanocrystals for emerging applications”, 10(11), 924-936.
9. Nature Photonics (2014) – Lu Y, Zhao J, Zhang R, Liu Y, Liu D, Goldys E, Yang X, Xi P, Sunna A, Lu J, Shi Y, Leif R, Huo Y, Shen J, Piper J, Robinson J, Jin D, “Tunable lifetime multiplexing using luminescent nanocrystals”, 8(1), 32–36. Highlighted by a News & Views article (Optical multiplexing: Tunable lifetime nanocrystals, Nature Photonics 8, 10–12, 2014).
10. Nature Nanotechnology (2013) – Zhao J, Jin D, Schartner E, Lu Y, Liu Y, Zhang L, Zvyagin A, Dawes J, Xi P, Piper J, Goldys E, Monro T, “Single nanocrystal sensitivity achieved by enhanced upconversion luminescence”, 8(10), 729-734. This work was featured in Nature highlights “NANOTECHNOLOGY: Super-bright nanocrystals” and Nature Nanotechnology “Nanocrystals: Shining a light on upconversion” 8, 702–703 (2013)