Computational Wellbeing Group
• Design human centered and/or data driven technologies for measuring and improving health and wellbeing.
• Understand relationships between human behaviors and physiology with health and wellbeing through human data modeling and analytics.
We are a highly interdisciplinary team: data science, machine learning, behavioral science, mobile and ubiquitous computing, physics and human computer interaction. We study non-clinical populations (e.g., college students, office workers) as well as clinical populations (e.g. patients with depression, schizophrenia, substance use disorders, Alzheimer, cancers ) in collaboration with researchers in psychology, psychiatry, sleep and circadian disorders, engineering and behavioral science. We are a part of Rice Scalable Health Labs.
[October, 2020] We received an NIH grant to measure physical and mental health risks and develop a personalized advice system for dementia spousal caregivers to accomplish everyday tasks and boost their mental health while safely distancing in collaboration with Dr. Chris Fagundes's team at Rice Psychology. [Link]
[July, 2020] Our team received Microsoft pandemic preparedness award for “Design and Evaluation of Intelligent Agent Prototypes for Assistance with COVID-19 work and lifestyle disruptions.” in collaboration with Drs. Fred Oswald (Rice) and Nidal Moukaddam (Baylor College of Medicine) [link]
[June, 2020] New papers in ACM IMWUT and IEEE EMBC 2020.
[Feb, 2020] Our team received Microsoft Productivity Research Collaboration grant "Unobtrusive Personalized Work Engagement Assistant" in collaboration with Drs. Ashok Veeraraghavan(Rice) and Fred Oswald (Rice) [link]
[Nov, 2019] We received Rice University Institute of Biosciences and Bioengineering: Hamill Innovation Awards: CraveSupport: Measuring and Intervening Craving Moments in Substance Use Disorders (SUD) using Bio-behavioral Sensor (in collaboration with Drs. Ashutosh Sabharwal (Rice), Nidal Moukaddam, Ramiro Salas (Baylor College of Medicine)).
[Nov, 2019] We received AMED funding (Japan agency for medical research and development) "Sleep and wellbeing recommendation system for shift workers" in collaboration with Mie University.
[Sept, 2019] We presented "Toward End-to-end Prediction of Future Wellbeing using Deep Sensor Representation Learning" at International Conference on Affective Computing and Intelligent Interaction (ACII) workshop, Machine Learning for the Diagnosis and Treatment of Affective Disorders (ML4AD).
[June, 2019] Luis got NSF NRT Bioelectronics Fellowship. Congratulations!
[May, 2019] Best Paper Award at IEEE Biomedical Health Informatics 2019 in Chicago.
[May, 2019] Our team received Rice University’s InterDisciplinary Excellence Awards to start a new project Fostering Positive Emotions and Psycho-Physio Resilience in Job Seekers and Beyond with Profs. King and Denny at Department of Psychological Sciences.
[April, 2019] Our team received Rice University’s Faculty Initiatives Fund to start a new project CityHealth: Measuring Mental Wellbeing of Houston to Empower City-scale Emotional Resilience and Preparedness for Adverse Weather Events.
[April, 2019] Han Yu got 2019 IBB Edgar O’Rear and Mary F.D. Morse Travel Award. Congrats!
[March, 2019] Our papers: "Personalized Wellbeing Prediction using Behavioral, Physiological and Weather Data" and "Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks" are accepted to present at IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI’19) in May 2019
If you are interested in joining our group,
[Rice undergrad/grad Students] Please email Prof. Sano with your interest and resume.
[Post-docs] Please email Prof. Sano with your interest and CV.
Rice has a postdoc fellowship program for highly competitive applicants which offer substantial independence.
The Rice Academy of Fellows provides a $60,000 salary for 2 years for a cohort of postdoctoral scholars in departments across campus. Applications are due the beginning of January every year.