Figure 1. Disciplinary mapping and training strategies in the AI-ACCESS model. Fangqiong Ling is an Assistant Professor at the Department of Energy, Environmental and Chemical Engineering at Washington University in St. Louis. She earned her Ph.D. (2016) from the Environmental Engineering and Science Program at the University of Illinois at Urbana-Champaign and conducted postdoctoral research at the Massachusetts Institute of Technology. The research group she leads is interested in studying microorganisms relevant for sustainability, public health, and biodiversity conservation. Alongside their research, the group strives to cultivate a training environment conducive to cross-disciplinary learning. This research is partially supported by the Division of Graduate Education (DGE) of the National Science Foundation under Grant 2244165. F.L.’s participation is partially supported by the Division of Chemical, Bioenergy, Environmental and Transport Systems (CBET, 2047470). This article references 17 other publications. This article has not yet been cited by other publications. Figure 1. Disciplinary mapping and training strategies in the AI-ACCESS model. Fangqiong Ling is an Assistant Professor at the Department of Energy, Environmental and Chemical Engineering at Washington University in St. Louis. She earned her Ph.D. (2016) from the Environmental Engineering and Science Program at the University of Illinois at Urbana-Champaign and conducted postdoctoral research at the Massachusetts Institute of Technology. The research group she leads is interested in studying microorganisms relevant for sustainability, public health, and biodiversity conservation. Alongside their research, the group strives to cultivate a training environment conducive to cross-disciplinary learning. This article references 17 other publications.