Past Visiting Scholars
| Visitor | Period of stay | Research interests | |
|---|---|---|---|
|
Xilong Fan |
22 Jun 2017 | gravitational wave astronomy, gravitational wave data analysis, galaxy properties by galactic chemical and SED models |
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|
Rohan Potham Naidu Yale-NUS College |
19 Jun 2017 to 14 Aug 2017 | Cosmic Reionization, High-Redshift Extragalactic Astronomy, Machine Learning Applications in Astronomy, Supernova Cosmology |
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|
Weichen Wang (王炜辰) Johns Hopkins University |
19 Jun 2017 to 23 Jun 2017 | understanding galaxy formation, dust geometry and star formation features using large extragalactic surveys conducted on the Hubble Space Telescope (CANDELS, 3D-HST, etc). |
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|
Zhi-Yu Zhang(张智昱) University of Edinburgh/ESO |
14 Jun 2017 |
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Zheng Zheng （郑政 ） University of Utah |
12 Jun 2017 to 16 Jun 2017 | cosmology, large-scale structure, galaxy formation and evolution, and Lyman-alpha radiative transfer. I also have broad interests in other fields of astrophysics. |
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|
Pau Amaro-Seoane Max-Planck Institute for Gravitational Physics |
9 Jun 2017 to 17 Jun 2017 | stellar dynamics, LIGO/Virgo/LISA black holes, data analysis and gravitational-wave search algorithms, planetesimal dynamics, scalar fields and collisional dark matter, and GPU computing |
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|
Nan Li University of Chicago |
9 Jun 2017 | Machine Learning and Gravitational Lensing, interactive Lens Modeling， Simulations of Time Delays in Galaxy Scale Lensing |
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Xu KONG (孔旭) University of Science and Technology of China |
8 Jun 2017 | stellar population synthesis and its application, two dimension properties of low-z/high-z galaxies, formation and evolution of low-z/high-z galaxies, dust attenuation and the IRX-beta relationship |
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Daniel Harsono Leiden University |
5 Jun 2017 to 15 Jun 2017 | testing of radiative transfer tools for ALLEGRO ALMA arcnode, accretion disk formation around low-mass stars |
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Zachariah Etienne West Virginia University |
1 Jun 2017 | Compact binary inspirals & mergers: Simulations in fully dynamical spacetimes, Black hole accretion, New techniques for performing compact object and compact binary simulations, Gravitational wave astrophysics & data analysis |
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