Zhengxiang Wang by the water

I am a PhD candidate at Stony Brook University, advised by Owen Rambow.

I work on evaluation, post-training, multi-modality, and human-AI interaction.

My research connects LLMs to everyday tasks, such as writing (ACL 2025, EMNLP 2025), and visual grounding (EMNLP 2025, ACL 2026).

In industry, I have worked on bringing LLMs to customer-facing applications, including topic modeling, ranking, audio processing, and creative ads.

Industry

  • MetaSoftware Engineer, ML Intern06/2026 - Present
  • AmazonApplied Scientist Intern08/2025 - 01/2026
  • MetaSoftware Engineer, ML Intern05/2025 - 08/2025
  • The Home DepotData Scientist Intern05/2024 - 08/2024

Research (More)