Data Science, Technology, and Medicine

Overview

Dr. Coleman will review his group’s multi-disciplinary efforts to develop non-invasive tools to monitor health status. He will discuss novel ways of interpreting the collected data for prediction, diagnosis, and prevention of disease, with a particular focus on chronic disease management and healthy aging, as well as the ethics of data collection, privacy, and assessment methods.

Speaker

ToddColemanPhotoTodd P. Coleman, Associate Professor, Bioengineering, UC San Diego Jacobs School of Engineering

Todd P. Coleman received B.S. degrees in electrical engineering (summa cum laude), as well as computer engineering (summa cum laude) from the University of Michigan. He received M.S. and Ph.D. degrees from MIT in electrical engineering,and did postdoctoral studies at MIT in neuroscience. He is currently an Associate Professor in Bioengineering at UCSD, where he directs the Neural Interaction Laboratory. Dr. Coleman’s research has been featured on CNN, BBC, and the New York Times. In 2015, Dr. Coleman was selected as a National Academy of Engineering Gilbreth Lecturer and a TEDMED speaker.

Moderator

nebeker

Camille Nebeker is an Assistant Professor in Family Medicine and Public Health. Her research and practice focuses on advancing ethical and responsible research through both academic and community-based educational initiatives. She has applied her expertise in ethics and education to developing training for both traditional (i.e., students, faculty) and non-traditional (i.e., Community Health Workers, Promotores de Salud) trainees engaged in the conduct of biomedical and behavioral research. Since 2002, Camille has led NIH, NSF and ORI supported projects and is currently leading Projects BRIC (Building Research Integrity and Capacity) and RECaP (Research Ethics: A CaPROMISE Initiative). Both sponsored projects involve developing research competencies in front-line research support staff (Spanish and English speakers) who have received little or no formal academic research training, yet carry out key roles in the implementation of community-based research studies. In addition to ethics education, Camille studies the ethical dimensions of wearable and digital technologies used in health-related research (i.e., mHealth). The mHealth studies are exploring research risks (e.g., privacy, confidentiality, bystander rights), risk management strategies (e.g., data management/security) and informed consent from several stakeholder perspectives (i.e., participants, researchers, ethics board members). Camille is a member of the Society of Behavioral Medicine and Public Responsibility in Medicine and Research and consult with academic institutions in the US and abroad on matters pertaining to human subjects protections, responsible conduct of research (RCR) training and applied research ethics.

Date & Time

Wednesday, March 1, 2017

Register

Eventbrite - Data Science, Technology, and Medicine