I’m a human-centered AI design researcher and fourth-year dual-PhD student in Computer Science & Communications at Northwestern University, Evanston, IL. My research interests encompass human-computer interaction-AI (HCI-AI), behavioral medicine, and digital health to design scalable, human-centred AI-driven tools in clinical settings. My work integrates participatory design and user research to understand user needs; explainable machine-learning development that uncovers “why”; and seamless clinical workflow integration to ensure adoption and impact. I work under the guidance of Dr. Maia L. Jacobs in the Personalized & Adaptive Technology for Health (PATH) lab where I am bridging the gap between algorithmic predictions and clinical practice through human-centered design.

Currently, I’m pioneering the design and evaluation of a clinician-facing risk calculator paired with an innovative ML-AI fairness dashboard. Together, these systems transform complex machine learning risk predictions into actionable clinical insights for pediatricians assessing early childhood mental health. By partnering with clinicians in co-design sessions, I created an evidence-based interface that visualizes relationships between risk and protective factors, highlights potential cognitive biases, and offers tailored conversation aids for family discussions. The interface promotes AI explainability by visualizing risk-protective factor relationships, showing which factors drive predictions, how confident the model is, and suggesting interventions that could change outcomes. Through its explainability features, the system empowering clinicians to question, interpret, and apply algorithmic recommendations while preserving their clinical expertise. Core competencies demonstrated include human-AI interaction design, healthcare UX research, clinical workflow integration, and explainable AI interface design.

My other projects involved co-creating telemedicine solutions tailored for cancer survivors and understanding misinformation and long-term engagement in online health communities. 

My doctoral study was supported by the American Association of University Women International Doctoral Fellowship award, effective from July 2024 through June 2025. And currently, in part by the Society of Women Engineers. Before these two, I have also received and benefited from numerous distinguished scholarship awards.