The people behind the research
Principal Investigator
Lecturer & Lab Director · Ariel University
I have always operated at the seams between disciplines. While my academic home is in Computer Science and NLP, my background is multi-faceted, and I have spent years navigating the dialogue between formal logic and the nuanced, often subjective worlds of human thought and culture.
I established the NLP for Human Sciences Lab at Ariel University to connect advanced AI with the traditionally complex terrain of human sciences — translating human-centered questions into computational models, and using machine learning and language models as instruments for both scientific advancement and deeper self-understanding.
Graduate Students
Developing a novel framework for concept-based model control to address challenges of transparency and safety in LLMs. The approach uses low-rank subspaces and concept activation vectors (LoCAV) to isolate cognitive signals within neural networks, enhance interpretability of knowledge encoding, and enable targeted interventions in model outputs.
Forecasting treatment outcomes in psychotherapy from partial session transcriptions, and using these forecasting models to characterise dyadic dynamics and patterns within therapy sessions that lead to therapeutic success.
Investigating how humans and multimodal AI systems interpret ambiguous visual scenes, combining large-scale language analysis with Vision-Language Models to advance both AI and psychological research. Outside the lab, enjoys long distance running.
Opportunities
We are looking for motivated researchers interested in the intersection of LLMs, psychology, and interpretability. If you want to work at the frontier of AI and human science, reach out with a brief description of your background and interests.
We are always open to new interdisciplinary partnerships where language technologies can unlock new perspectives in scientific or clinical textual data. If you have a research question and a corpus, let's talk.