Zhijing Jin (she/her) is a Ph.D. at Max Planck Institute & ETH. Her research goals are two-fold: (1) to expand the impact of NLP by promoting NLP for social good, and (2) to improve NLP models by connecting NLP with causal inference. She is co-supervised by Prof Bernhard Schoelkopf at Max Planck Institute (main supervisor), Prof Rada Mihalcea at University of Michigan (as a mentor), and Prof Mrinmaya Sachan and Prof Ryan Cotterell (co-supervision through ELLIS program) at ETH Zürich. She has published at many NLP and AI venues (e.g., AAAI, ACL, EMNLP, NAACL, COLING, AISTATS), and NLP for healthcare venues (e.g., AAHPM, JPSM). Her work has been cited in MIT News, ACM TechNews, WeVolver, VentureBeat, and Synced. She is actively involved in AI for social good, as the organizer of NLP for Positive Impact Workshop at ACL 2021 and EMNLP 2022, and RobustML workshop at ICLR 2021. To support the NLP research community, she organizes the ACL Year-Round Mentorship Program. To foster the causality research community, she is the Publications Chair for the 1st conference on Causal Learning and Reasoning (CLeaR), and organizes the Tutorial on CausalNLP at EMNLP 2022. More information can be checked on her personal website: zhijing-jin.com