Hi! I'm Pengcheng. I am a research scientist at Google Deepmind, working on Gemini Code and research projects in natural language to code generation. Before that, I was a Ph.D. student at Language Technologies Institute, Carnegie Mellon University.

Outside of work, I am a student pilot based at Palo Alto Airport. I also train Coke using RLHF :)

Research Papers

Please see my Google Scholar page for recent publications.

Past Industrial Experiences

• Researcher Intern, Microsoft Semantic Machines
• Part-time Research Collaborator, Facebook AI Research
• Research Intern, Facebook AI Research London
• Research Intern, Microsoft Research Cambridge, UK
• Research Intern, Microsoft Research
• Research Intern, Noah's Ark Lab, Huawei
• Research Intern, Microsoft Research Asia

Professional Services

• Area Chair: ICLR 2024, ICLR 2025, ACL 2025
• Reviewer: ACL (outstanding reviewer @ ACL 2020), EMNLP, NAACL, NeurIPS, ICML (top 33% reviewer @ ICML '20), ICLR, etc.

Talks and Coding

• Stanford CS224N DL with NLP: Code Generation (slides)
• TranX: a general-purpose syntax-driven neural semantic parser
• Strong results on six semantic parsing benchmarks
• pytorch_basic_nmt: a basic implementation of attentional nerual seq2seq models
• Used for instructional purposes in Stanford CS224N Nautral Language Processing with Deep Learning and CMU 11-731 Machine Translation and Sequence-to-Sequence Models.