Published 'Exploring Opportunities to Augment Psychotherapy with Language Models' in CHI Conference Extended Abstracts
Published 'Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making' in JMIR Formative Research
Published 'Burnout and the Quantified Workplace: Tensions around Personal Sensing Interventions for Stress in Resident Physicians' in Proceedings of the ACM on Human-Computer Interaction
Published 'Measuring algorithmic bias to analyze the reliability of AI tools that predict depression risk using smartphone sensed-behavioral data' in npj Mental Health Research
Published 'Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies' in PLOS ONE
Published 'A call for open data to develop mental health digital biomarkers' in BJ Psych Open
Research Experience
Involved in multiple projects at the People-Aware Computing Lab, Cornell University
Contributed to the 'AI in Mental Healthcare' project on using LLMs to enhance psychotherapy
Worked on the 'Sensing Implementation' project examining sensing tools in high-stress workplaces and clinical settings
Engaged in the 'Reliability in ML' project analyzing reliability and algorithmic bias of ML-based mental health prediction tools
Participated in the 'Craving Reduction' project on translational research for mindless interventions targeting alcohol craving
Contributed to the 'Affective Touch' project developing wearable devices for anxiety reduction via affective touch