Akane Sano
Associate Professor, Electrical and Computer Engineering
Member, Rice Digital Health Initiative and Houston Methodist-Rice Digital Health Institute
Member, Ken Kennedy Institute
Member, Institute of Health Resilience and Innovation
SURF Mentoring
Potential projects/topics: AI and computing for health and wellbeing
Potential skills gained: coding, analysis, machine learning, statistics
Required qualifications:
- Required skills: coding (python), ideally previous data science and machine learning experience
Direct mentor: Faculty/P.I., Graduate Student
Research Areas
Dr. Sano's research focuses on machine learning, digital health, mobile health, affective computing, ubiquitous computing, behavioral science, adaptive systems, artificial intelligence, human/computer interaction, intelligent systems, biomedical health informatics, digital phenotyping, just-in-time interventions, personalized medicine
