Overview
Dr. Annika Marie Schoene is a Computer Scientist and researcher in AI safety, working on the evaluation, robustness, and security of large-scale AI systems, including large language models. She develops technical methods and evaluation frameworks to identify and mitigate high-risk behaviors such as jailbreaks, harmful outputs, and unsafe system behavior, with the goal of enabling the safe and trustworthy deployment of AI in public health, health systems, and healthcare settings. She is currently an Assistant Professor in the Department of Public Health and Health Sciences and Technical Lead for the Responsible AI Practice at Northeastern University.
Beyond her core research, she works across academic, industry, public-sector and not-for-profit settings to generate evidence that supports non-technical stakeholders and policymakers in making informed decisions that reduce algorithmic harm and inform organizational decision-making. She is also a Visiting Scientist at MaineHealth and the University of Southampton (UK), and a Faculty Fellow at the Institute for Social Justice and Healthy Equity.
She holds a PhD in Computer Science from the University of Hull (UK). During her doctoral training, she conducted research on machine and deep learning methods for analyzing complex real-world text and interned at IBM Research (UK), continuing this collaboration throughout her PhD and postdoctoral work. She completed her postdoctoral training at the University of Manchester’s National Centre for Text Mining (NaCTeM), where she worked on natural language processing in health-related contexts. Prior to her current role, she was a Research Scientist at the Institute for Experiential AI (EAI), working primarily on research involving the development and evaluation of AI methods in applied health contexts.
