PhD Student
Ying Wang is a PhD student at NYU Center for Data Science, advised by Prof. Andrew Wilson and Prof. Mengye Ren in the CILVR Lab. Her research focuses on multimodal learning, aiming to build adaptive and trustworthy machine learning systems that integrate diverse modalities such as text, images, and videos. Prior to starting her PhD, she earned an MS in Data Science at NYU, where she was featured in the alumni spotlight. She completed her undergraduate degree in Computer Science, Statistics, and Finance at McGill University in Montreal, Canada.