معرفی
Katherine E. Goodman serves as an Assistant Professor in the Department of Epidemiology & Public Health at the University of Maryland, Baltimore School of Medicine, where she bridges machine learning applications with public health law. Her dual expertise in epidemiology (PhD, Johns Hopkins) and law (JD, Columbia) informs cross-disciplinary collaborations across medical and legal institutions.
Her educational background includes:
- PhD in Epidemiology (Johns Hopkins Bloomberg School of Public Health, 2018)
- Postgraduate Diploma in Public Health (University of Auckland, 2013)
- JD from Columbia University School of Law (2010)
- BA in Moral Philosophy (Dartmouth College, 2006)
Goodman's research pioneers AI-driven solutions for antimicrobial resistance surveillance, clinical algorithm regulation, and pandemic response systems. She develops NLP/LLM methodologies using electronic health records and claims data across infectious diseases, oncology, and maternal-fetal medicine, with particular focus on early-onset colorectal cancer detection and gut carriage screening. Her work uniquely integrates FDA law perspectives with public health informatics, examining legal frameworks for clinical algorithm oversight.
Analysis of her 15 most recent publications reveals dominant themes in large language model implementation for infection control (40%), clinical algorithm ethics (30%), and antimicrobial stewardship (30%). Key methodological trends include multicenter validation of NLP tools across 600+ hospitals and development of equity-focused frameworks like FAIRS for sex-inclusive algorithm design.
Her collaborative projects involve:
- Joint initiatives between UMB School of Medicine and School of Law
- National studies spanning 928 U.S. hospitals
- Real-world AI implementation trials in academic medical centers
