Research:

  Numerical Simulations

  Cosmology

  Milky Way and Galactic Dynamics

  Galaxy Groups and Clusters

Research Interests:

• Dark matter

     Numerical simulation

     Dynamical modelling

     Detection

     Weak Lensing

     Galaxy formation

• Astrostatistics

  My research is focused on studying the distribution and nature of dark matter in our Universe, using efficient computation and advanced statistics in the big data era. Starting from simulations, I study various aspects of dark matter halos, such as their formation, substructure, phase-space distribution as well as largescale distribution. On top of that, I also use various observational probes, including gravitational lensing, dynamical modelling and indirect detection, to study the dark matter in the real Universe.

Awards:

(China) Youth Thousand Talent Scholar（2018）

(EU) Marie-Curie Early Stage Researcher (2010-2012)

Bio:

 2018-present：Associate Professor (tenure-track), Shanghai Jiao Tong University

 2016-2018：Project Researcher, Kavli IPMU, University of Tokyo

 2013-2016： Research Associate, Institute for Computational Cosmology, Durham University

 2013：Ph.D. in astrophysics, Shanghai Astronomical Observatory, CAS

 2007, B.Sc. in astronomy,  Nanjing University

Recent Publications:

1.Han, Jiaxin; Li, Yin; et al. The multidimensional dependence of halo bias in the eye of a machine: a tale of halo structure, assembly and environment. MNRAS, 482(2): 1900-1919, 2019

2.Wang, Wenting; Han, Jiaxin; et al. What to expect from dynamical modelling of galactic haloes - II. The spherical Jeans equation MNRAS, 476(4): 5669-5680, 2018

3.Han, Jiaxin; Cole, Shaun; et al. HBT+: an improved code for finding subhaloes and building merger trees in cosmological simulations. MNRAS, 474(1): 604-617, 2018

4.Han, Jiaxin; Cole, Shaun; Frenk, Carlos S., Jing, Yipeng,  A unified model for the spatial and mass distribution of subhaloes. MNRAS, 475(2): 1208-1223, 2016

5.Han, Jiaxin; Wang, Wenting; Cole, Shaun; Frenk, Carlos S. The orbital PDF: general inference of the gravitational potential from steady-state tracers. MNRAS, 456(1): 1003-1016, 2015