Yingyezhe Jin
Quantitative Researcher
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolYingyezhe Jin is a quantitative researcher in Menlo Park with 10 years of experience applying machine learning and spiking neural networks to high-performance systems. Currently building ML-driven futures trading models at Citadel Securities, he previously led ML detection teams at Facebook, shipping sequence and DNN/GBDT systems that materially reduced scripted and inauthentic behaviors. He combines strong C++ proficiency (production parallel and graph algorithms) with deep academic expertise—PhD in Computer Engineering from Texas A&M—where he developed GPU-accelerated spiking neural network software and a neuromorphic speech recognizer. Comfortable across Python and GPU development, he bridges research and production, turning biologically inspired models and statistical ML into low-latency, scalable code. Off-hours hacker mentality—“crack problems for fun”—drives a practical focus on speedups and measurable gains (e.g., 100x GPU speedups, 4.5x multicore, and measurable model AUC/NE improvements).
10 years of coding experience
6 years of employment as a software developer
Xiamen Shuangshi Middle SchoolDoctor of Philosophy (Ph.D.), Computer Engineering, 4.00/4.00, Doctor of Philosophy (Ph.D.), Computer Engineering, 4.00/4.00 at Texas A&M UniversityBachelor of Engineering (BEng), Electronic and Information Technology, 3.83/4.00, Bachelor of Engineering (BEng), Electronic and Information Technology, 3.83/4.00 at Zhejiang University
English, Chinese
Github Skills (44)
kaggle8
classification8
python8
data-mining8
parallel8
r8
computation7
catboost7
gradient7
gradient-boosting7
cpu7
machine-learning7
lightgbm7
regression7
cuda7
Programming languages (3)
Github contributions (5)
jinyyy666/LSM_Brainlike_STDP
Aug 2015 - Mar 2019
Contributions:42 pushes, 1 branch in 3 years 6 months
jinyyy666/mm-bp-snn
Nov 2017 - Jan 2019
Contributions:120 commits, 87 pushes, 9 branches in 1 year 2 months
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