Katya Alvarez-Molina | PhD
Brian Bauer | PhD, MS
Weidan Cao | PhD
Erica Cruvinel | PhD, MPH
Research Summary: Dr. Cruvinel's research focuses on improving the delivery of smoking cessation treatment, with emphasis on mHealth interventions. Dr. Cruvinel has extensive experience working with underserved communities in Brazil to implement Screening, Brief Interventions and Referral to Treatment (SBIRT) for tobacco, alcohol and other drug misuse. She is particularly interested in exploring the potential of mHealth interventions to improve health outcomes for underserved populations in the U.S. and in low-to-middle-income countries. Dr. Cruvinel was recently awarded a K01 from NIDA to develop a remote behavioral intervention that can optimize engagement with smoking cessation medication and counseling among hospitalized smokers in the U.S.
Laura Ellington | MD, MS
Johanna Folk | PhD
Yongyi Guo | PhD
John Hollier | MD, MS, MPH
Institution: Baylor College of Medicine
Position: Assistant Professor
Research Interest: functional abdominal pain disorders, user-centered design, health services research, clinical research, mHealth
Research Summary: Dr. Hollier is a board-certified pediatric gastroenterologist, clinical research investigator, and health services researcher. His research agenda includes developing, testing, and implementing mHealth interventions to improve access to optimal psychological therapies for children affected by functional abdominal pain disorders like irritable bowel syndrome. Leveraging a user-centered design approach and behavioral economics, his team has developed a mobile application (App) that remotely delivers prerecorded therapy sessions to patients and will assess its efficacy in a clinical trial. This trial will evaluate whether this App intervention can improve abdominal pain symptoms and reduce maladaptive thoughts. Dr. Hollier's career goal is to become a mHealth technology leader who will improve pediatric health by implementing novel interventions and health delivery strategies.
Adam Horwitz | PhD
Jaime Hughes | PhD, MPH, MSW
Research Interest: accelerometry for the assessment of sleep-activity patterns, ecological momentary assessments and interventions for geriatric health promotion, implementation science for adoption and sustainment of mHealth programs
Ravi Karkar | PhD
Traci M. Kennedy | PhD
Jin Sol Lee | MD, MPH
Research Interest: design research, quality improvement, mobile health integrations
Aaron P. Lesher | MD, MSCR
Research Summary: His research program focuses on using telehealth to improve the access to high quality care in vulnerable populations. His main research efforts are focused on pediatric patients who are being treated for burn injury. He and his team developed a novel smartphone application called 'TOBI', which improves at-home burn care delivery for patients and their families.
Zhengxiong Li | PhD
Research Summary: My research domain lies in the Internet of things (IoT)/Mobile, especially in exploring, designing, implementing, and evaluating novel intelligent sensing and computing systems for high-impact real-world applications in health and security.
Shan Lin | PhD
Research Summary: Dr. Lin's research is in the area of networked systems, with an emphasis on feedback control based design for cyber physical systems and sensor systems. Shan Lin works on wireless network protocols, interoperable medical devices, smart transportation systems, and intelligent sensing systems.
Chiung-ju (CJ) Liu | PhD
Research Interest: late-life disability prevention, late-life exercise, community-based or home-based intervention to support aging in place
Rachel Ludeke | PhD, MSW
Jacqueline Louise Mair | PhD
Laura Reid Marks | PhD
Olga Perski | PhD
Phyllis Raynor | PhD
Leigh Ridings | PhD
Walter Roberts | PhD
Megan Salwei | PhD
Institution: Vanderbilt University Medical Center
Position: Research Assistant Professor
Research Interest: human factors engineering methods and principals, health information technology (HIT), patient safety and care quality
Research Summary: My research program applies human factors engineering methods and principles to improve the design of health information technology (HIT) to enhance patient safety and care quality. I am primarily interested in the design of HIT to support decision-making and teamwork in healthcare, not just between clinicians but between the entire healthcare team – clinicians, patients, and their family caregivers. I am also interested in how to successfully integrate advanced technologies, such as those based on machine learning, into care processes.
Frank Schwebel | PhD
Research Summary: My research is committed to developing, implementing, and evaluating the effectiveness of mHealth interventions for substance use disorders (SUDs). My training emphasized developing quantitative skills to analyze mHealth data (eg., intensive longitudinal data, "big data") and increasing my knowledge and experience with advanced mHealth methodologies (eg., microrandomized trials (MRTs)). Quantitatively, I learned how to apply machine learning algorithms (eg., elastic net regression, classification and regression trees, random forest models) to answer addictions-related questions. Another major emphasis of mine has been to gain exposure to advanced mHealth methodologies such as MRTs and just-in-time adaptive interventions (JITAIs)