Kangchen Bai
Quantitative Associate
Jersey City, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolKangchen Bai is a Quantitative Associate with 11 years of technical experience, currently building electronic trading and market making solutions for interest rates at Morgan Stanley. He blends a PhD in Geophysics and Seismology (with a minor in Applied and Computational Math) from Caltech with hands-on proficiency in Python, C++, Fortran, MPI and scalable numerical methods. His background developing high-performance finite-difference and CUDA-accelerated algorithms at Schlumberger translates into robust, performance-conscious quant engineering. Based in Jersey City, he leverages deep modeling instincts from academia to solve real-time market microstructure problems, often favoring low-level optimization and parallelism over black-box approaches.
11 years of coding experience
High School Affiliated to Nanjing Normal UniversityBachelor's, Geochemistry, Bachelor's, Geochemistry at Nanjing UniversityCalifornia Institute of Technology
Github Skills (30)
propagation10
fluid10
mesh10
cartesian10
ord10
acoustics10
wave10
volume-rendering10
binance10
api10
ocean10
elastic10
geophysics10
fog10
geology10
Programming languages (3)
Github contributions (5)
kbai/specfem3d
Mar 2015 - Jan 2018
Contributions:108 pushes, 8 branches, 1 comment in 2 years 11 months
pythonbasinsfluidtype-ofsimulation
kbai/specfem3d_fault
May 2015 - May 2015
Contributions:23 commits, 34 pushes, 4 branches in 23 days
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