Summary
Zhenyi Wang is an assistant professor and machine learning researcher with 8 years of experience focused on large language models, continual and data-efficient learning, and generative AI. Trained with a PhD in Computer Science and postdoctoral work at University of Maryland, he blends academic rigor—published at NeurIPS, ICML, ICLR, CVPR and ACL—with industry experience from Meta, Amazon, and Tencent on NLP, multimodal LLMs, and production MLOps. He has hands-on expertise across CNNs, Transformers, RNNs, and deep RL, and has driven data-efficient personalized 3D avatar adaptation at Reality Labs. Comfortable bridging research and applied roles, he seeks positions spanning research scientist, applied scientist, and quantitative research where non-stationary data and optimization challenges are central. An uncommon strength is his cross-domain fluency linking bioinformatics-style ML thinking with large-scale industrial pipelines and ads metrics.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University at Buffalo
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Northeastern University