Xuejian Shen
PhD Candidate at Caltech- Claim this Profile
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Bio
Credentials
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Term-Structure and Credit Derivatives
CourseraAug, 2022- Oct, 2024 -
Introduction to Financial Engineering and Risk Management
CourseraJun, 2022- Oct, 2024
Experience
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Caltech
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United States
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Research Services
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700 & Above Employee
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PhD Candidate
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Oct 2018 - Present
Fourth year PhD candidate in Physics at Caltech. My research focuses on theoretical astrophysics and cosmology, specifically on galaxy formation & evoltuion and the nature of dark matter. Here are several research topics that I'm actively working on:1. Formation & evolution of early galaxies; Theoretical forecast for JWST observations2. High redshift quasar demographics & SMBH seeding3. The nature of dark matter: i. dark matter self-interactions ii. small-scale substructures (e.g. axion miniclusters) iii. observational constraintsI'm a member of the FIRE (Feedback In Realistic Environments) scientific collabration. My research is supported by the National Science Foundation (NSF) Research Grants 1911233, 20009234, 2108318, the National Aeronautics and Space Administration (NASA) grants 80NSSC18K0562, HST-AR-15800 and allocations AST21010 and AST20016 on the supercomputer Frontera at the Texas Advanced Computing Center (TACC).
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Massachusetts Institute of Technology
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United States
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Higher Education
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700 & Above Employee
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Research Intern in Computational Astrophysics
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Jun 2017 - Oct 2017
I worked as a summer student in the Computational Structure and Galaxy Formation (CSGF) group at MIT. I developed a population synthesis and dust attenuation pipeline for the ETHOS and the IllustrisTNG simulations. In the following years, I continued working on synthetic observations for the IllustrisTNG simulation with the group (using a combination of semi-analytic model and Monte-Carlo radiative transfer). I worked as a summer student in the Computational Structure and Galaxy Formation (CSGF) group at MIT. I developed a population synthesis and dust attenuation pipeline for the ETHOS and the IllustrisTNG simulations. In the following years, I continued working on synthetic observations for the IllustrisTNG simulation with the group (using a combination of semi-analytic model and Monte-Carlo radiative transfer).
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Education
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2018 - 2023
Caltech
Doctor of Philosophy - PhD, Physics -
2014 - 2018
Peking University
Bachelor of Science - BS, Physics -
2010 - 2014
High School Affiliated to Nanjing Normal University
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