Dongyeop Kang is McKnight Land-Grant Professor and Assistant Professor of Computer Science and Engineering at the University of Minnesota, where he co-directs the Minnesota NLP group developing human-centered language technologies, focusing on cognitively aligning human and machine thinking, advancing AI as thinking partners. He is also the founder and CEO of Cogmenta, a Twin Cities startup building private AI that learns how experts work inside a firm. His research bridges language and cognition to develop novel algorithms, benchmarks, metrics, and interaction frameworks that support experts in complex, real-world cognitive workflows. He received his Ph.D. on natural language generation in the Language Technologies Institute at Carnegie Mellon University under Eduard Hovy, and completed postdoctoral work at UC Berkeley with Marti A. Hearst. His work has been recognized with awards including the Google Research Gift Award, Open Philanthropy Agent Benchmark Grant, Grammarly Research Gift Award, 3M Non-tenured Faculty Award (NTFA), Cisco Research Award, Sony Research Faculty Innovation Award, NSF NAIRR Pilot Award, and the Best Paper Award at the In2Writing workshop at ACL 2022. He co-founded and -organized workshops such as In2Writing, CtrlGen, and Pluralistic Alignment.