Haoxian Chen
Applied Scientist at Amazon
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolHaoxian Chen is an applied scientist and PhD candidate in Operations Research at Columbia University with 11 years of quantitative and machine learning experience focused on time series forecasting and exotic option pricing. He combines a strong mathematical foundation from UCLA with hands-on internship and research roles at Amazon, Morgan Stanley, ICBC, GF Securities, and an algorithm-focused stint at Guangzhou Bidi Data Technology. At Amazon he has shipped forecasting models in production, and at Morgan Stanley he translated research into practical pricing for exotic derivatives—demonstrating an ability to move from theory to real-world finance applications. Curious about cutting-edge methods, he blends academic rigor with practitioner pragmatism and enjoys cross-disciplinary problem solving. Colleagues describe him as self-motivated, responsible, and optimistic, traits that have consistently supported collaborative research and product delivery.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Operations Research, Doctor of Philosophy - PhD Operations Research at Columbia UniversityUniversity of California, Los Angeles
Stackoverflow
11reputation
288reached
1answer
0questions
Github Skills (15)
flex-lexer6
datalog6
ns36
logic5
logic-programming5
translator5
declarative-programming4
performance-measurement4
horn4
specification4
cpp3
parallel3
measurement3
static-code-analysis2
web-performance1
Programming languages (3)
Github contributions (5)
HaoxianChen/netspec
May 2021 - Jul 2022
Contributions:155 pushes in 1 year 2 months
HaoxianChen/smart-contracts
Oct 2021 - Aug 2022
Contributions:10 commits, 44 pushes in 10 months
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