Tue Te

I am a sleep medicine physician committed to advancing our understanding of sleep disorders through academic research and big data analysis. My work focuses on employing machine learning techniques to identify novel phenotypes associated with conditions such as obstructive sleep apnea (OSA) and insomnia, along with their comorbidities, including dementia. By utilizing diverse data sources, such as electronic health records and audio voice data, I aim to uncover complex patterns that enhance patient care and address the interplay between sleep disturbances and cognitive decline.

Throughout my research training, I have employed big data and machine learning methodologies to uncover new patterns in phenotypes and comorbidities related to sleep disorders. A key focus of my work is the exploration of novel patient clusters and disease trajectories through large-scale data analysis. By applying machine learning techniques, I have identified significant patterns of comorbidity and symptom clusters in patients with OSA, which may facilitate more targeted and effective interventions. I have investigated audio data to explore its potential as a source of vocalic markers. My research also aims to enhance our understanding of how sleep disorders impact cognitive health, particularly in vulnerable populations such as older adults with dementia. Additionally, I am particularly focused on examining healthcare disparities that affect access to care and treatment outcomes for marginalized groups. I aim to contribute to interventions that improve the quality of life for individuals with sleep disorders, ensuring that equitable healthcare access remains a priority.

As I embark on my PhD in Medical Informatics at UCLA, I am eager to deepen my expertise in data-driven methodologies and explore innovative approaches to analyzing large-scale biomedical data. I look forward to collaborating with interdisciplinary teams, leveraging cutting-edge informatics tools, and applying advanced machine learning algorithms to investigate the connections between sleep, cognition, health outcomes, and healthcare disparities. My goal is to enhance precision medicine in sleep health, particularly for aging populations, by discovering and characterizing new sleep-related phenotypes. Ultimately, I aim to reduce morbidity and mortality through personalized treatment approaches that address the unique needs of individuals with sleep disorders and their comorbid conditions while advocating for equitable healthcare access for all.

LinkedIn: www.linkedin.com/in/tue-te-41aa3724b/

ORCID: 0000-0001-6290-0475