معرفی
Cheng Ren is an Assistant Professor in the School of Social Welfare within the College of Integrated Health Sciences at University at Albany, SUNY. He develops computational approaches to address social welfare challenges through AI and data science techniques, with particular focus on housing justice and service accessibility for vulnerable populations.
Education:
- PhD, University of California, Berkeley (2024)
- MS in Social Administration, Case Western Reserve University (2017)
- BA in Media Study, Shanxi University (2015)
Research Focus: His lab applies natural language processing and computer vision to eviction research, housing policy analysis, and community needs assessment. Current projects include analyzing tenant-landlord dynamics through generative AI and studying pandemic impacts on public benefits systems. He contributes to the university's AI institute, translating computational methods to social welfare contexts.
Publication Patterns: Ren's recent work demonstrates consistent methodological innovation in applying NLP and machine learning to housing justice topics. His articles combine computational techniques with deep policy analysis, particularly in eviction research and healthcare access during crises like COVID-19.
