Assistant Professor

My research is in single-electron qubits and hybrid superconducting quantum circuits for quantum information science and high-temperature superconductor electronics.

My research is in soft materials characterization and development.

My research areas are Human-Computer Interaction (HCI) and social computing. I study how people interact with AI systems and design tools that promote accountability and strengthen user agency—especially for marginalized communities.

My research focuses on applied mathematics, particularly on developing efficient and scalable numerical methods for a broad range of scientific computing problems with provable accuracy guarantees. I am also interested in leveraging machine learning techniques to address challenges in computational mathematics.

My research focuses on developing intelligent mobile and wearable technologies that help us better understand human behavior, support health and well-being, and improve daily interactions. I aim to create practical systems that respond to real-world needs in areas like mobile health, human-computer interaction, and personal privacy.

The central focus of my research is understanding underlying mechanisms of skeletal muscle wasting during aging and age-related pathologies such as cancer cachexia.

My work is investigating voice-training methodologies through the lens of linguistics.  My research focuses on how voice trainers conceptualize theoretical aspects of voice and speech, which influence the way they practice and teach the subject in the classroom and how coaching practices happen in the industry. 

I study the role of arts organizations in contemporary public and civic life. I am especially interested in how that role is changing, how the arts interact with local communities, and the strategies these organizations use to navigate challenging and shifting expectations.

My research is in the areas of statistics, graphical model, causal discovery, and biomedical data.