General

  • Nan Li  (Male)

  • Associate Professor  

  • National Astronomical Observoteries, Chinese Academy of Sciences
    Email: nan.li@nao.cas.cn
    Address: Datun Road 20A, Chaoyang District, Beijing
    Postcode:100101


Research Areas

Dark Matter and Dark Energy, Gravitational Lensing, Galaxy Evolution, Machine Learning

Education

2009-09--2013-07   University of Chinese Academy of Sciences   Ph.D
2006-09--2009-07   University of Chinese Academy of Sciences   M.S.
2001-10--2006-07   Beihang University   B.E.


Experience


Work Experience
2019-12~Now, National Astronomical Observatories, Chinese Academy of Sciences, Associate Professor
2017-08~2019-10, The University of Nottingham, Postdoctoral Scholar
2013-05~2017-04, The University of Chicago, Postdoctoral Scholar


Teaching Experience
2021~Now, Python in Astronomy, University of Chinese Academy of Sciences

Publications

   
Selected Papers
(1) Strong lens modelling: comparing and combining Bayesian neural networks and parametric profile fitting, Monthly Notices of the Royal Astronomical Society, 2021
(2) The LSST DESC DC2 Simulated Sky Survey, The Astrophysical Journal Supplement Series, 2021
(3) Core Mass Estimates in Strong Lensing Galaxy Clusters Using a Single-halo Lens Model, The Astrophysical Journal, 2021
(4) Measuring the Gravitomagnetic Distortion from Rotating Halos. I. Methods, The Astrophysical Journal, 2021
(5) Auto-identification of unphysical source reconstructions in strong gravitational lens modelling, Monthly Notices of the Royal Astronomical Society, 2021
(6) The impact of line-of-sight structures on measuring H0 with strong lensing time delays, Monthly Notices of the Royal Astronomical Society, 2021
(7) Optimizing automatic morphological classification of galaxies with machine learning and deep learning using Dark Energy Survey imaging, Monthly Notices of the Royal Astronomical Society, 2020
(8) Identifying strong lenses with unsupervised machine learning using convolutional autoencoder, Monthly Notices of the Royal Astronomical Society, 2020
(9) Efficient Mass Estimate at the Core of Strong Lensing Galaxy Clusters Using the Einstein Radius, The Astrophysical Journal, 2020
(10) The strong gravitational lens finding challenge, Astronomy & Astrophysics, 2019
(11) Automated Lensing Learner: Automated Strong Lensing Identification with a Computer Vision Technique, The Astrophysical Journal, 2019
(12) The importance of secondary halos for strong lensing in massive galaxy clusters across redshift, The Astrophysical Journal, 2019
(13) The use of convolutional neural networks for modelling large optically-selected strong galaxy-lens samples, Monthly Notices of the Royal Astronomical Society, 2019
(14) CosmoDC2: A Synthetic Sky Catalog for Dark Energy Science with LSST, The Astrophysical Journal Supplement Series, 2019
(15) CMU DeepLens: deep learning for automatic image-based galaxy–galaxy strong lens finding, Monthly Notices of the Royal Astronomical Society, 2018
(16) Galaxy–Galaxy Weak-lensing Measurements from SDSS. II. Host Halo Properties of Galaxy Groups, The Astrophysical Journal, 2018
Books
(1) The Science of Interstellar, 浙江人民出版社, 2015-06, One of the translators.
(2) Dark matter and the dinosaurs:The astounding inter, 浙江人民出版社, One of the translators.


Research Interests

1. Galaxy Formation and Evolution

2. Dark Matter and Dark Energy

3. Gravitational Lensing

4. Applying machine Learning to Astrophysics and cosmology

Students

现指导学生

吴迪  硕士研究生  070401-天体物理