Zhenlan Wang
Lead AI Researcher at JPMorgan Chase & Co.
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolZhenlan Wang is a Lead AI Researcher in New York with nine years of experience building and governing ML models for enterprise-scale credit portfolios exceeding $200B and 70M customers. He blends deep LLM expertise—prompt engineering, SFT, RLHF, and inference optimizations like quantization, FlashAttention, and speculative decoding—with rigorous model risk governance and interpretability (LIME, SHAP, GroupSHAP). At JPMorgan Chase he pioneered practical explainability fixes after identifying SHAP’s out-of-distribution limits and led deployment-ready underwriting models that improved predictive performance and regulatory transparency. Comfortable moving from low-level inference tricks to high-stakes production modeling and governance, he pairs quantitative rigor (multinomial logit, stacking, mixture-of-experts) with pragmatic engineering to deliver auditable, high-impact AI systems.
9 years of coding experience
3 years of employment as a software developer
risk management and insurance, risk management and insurance at University of International Business and Economicsmaster risk management, master risk management at Georgia State University - J. Mack Robinson College of Business
Chinese, English
Github Skills (35)
geometric-deep-learning10
pytorch10
graph10
graph-convolutional-networks10
deep-learning9
graph-neural-network9
cuda9
gpt8
bayesian8
inference8
amd8
neural-network7
tpu7
llm7
llama7
Programming languages (2)
Github contributions (5)
zhenlan0426/QM
Jun 2019 - Aug 2022
Contributions:104 commits, 50 pushes, 1 branch in 3 years 2 months
zhenlan0426/movie-sentiment
Oct 2016 - May 2019
Contributions:6 pushes, 1 branch in 2 years 7 months
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