Internal Advisory Board
D-SINE Africa draws upon a strong history of multidisciplinary, multi-institutional, multi-country collaboration to foster synergy among the Center’s sectors and enhance strategic collaboration through D-SI Africa Consortium Participation.
ADVISORY BOARD
Senior Advisory Board Members
Prof. Halle-Ekane Edie
University of Buea
SENIOR ADVISOR
Prof. Halle-Ekane Edie
- Phone:+237 675 580 555
- Email:contact@dsineafrica.org
Steven Shoptaw J. PhD
University of California, UCLA
SENIOR ADVISOR
Steven Shoptaw J. PhD
- Phone: +237 675 580 555
- Email:contact@dsineafrica.org
Stein Dan Joseph PhD
University of Cape Twon
SENIOR ADVISER
Stein Dan Joseph PhD
- Phone:+237 675 580 555
- Email:contact@dsineafrica.org
Additional Advisory Board Members
Matthew Lebreton
Congo Basin Institute - Cameroon
ADVISORY BOARD MEMBER
Ndip, Lucy M. Ayamba
University of Buea, Cameroon
ADVISORY BOARD MEMBER
Ndip, Lucy M. Ayamba
- Phone: +237 675 580 555
- Email:contact@dsineafrica.org
Risa Hoffman, MD, PhD
UCLA School of Medicine
ADVISORY BOARD MEMBER
Sassan Saatchi, PhD
California Institute of Tech - USA
ADVISORY BOARD MEMBER
Dr. Martin Monono
Ministry of Public Health Cameroon
ADVISORY BOARD MEMBER
Dr. Georges Etoundi M.
Ministry of Public Health, Cameroon
ADVISORY BOARD MEMBER
Prof Louis R. Njock
Ministry of Public Health - Cameroon
ADVISORY BOARD MEMBER
Dr. Henry Nkumbe
Ministry of Public Health Cameroon
ADVISORY BOARD MEMBER
Minang Edwin
CAROSAF, Cameroon
ADVISORY BOARD MEMBER
Ms. Anne Njoyong
Trauma Patient - Cameroon
ADVISORY BOARD MEMBER
Augustine A. Nkongho
Traditional Bonesetter, Cameroon
ADVISORY BOARD MEMBER
MULTIDISCIPLINARITY
Our multidisciplinary team has a track record of data science application to trauma and acute care challenges in HIC and LMIC. We also have a demonstrated commitment to using data science approaches to address surgical inequity in the US and in SSA. We propose to build on this strong foundation to complete two projects supported by the D-SINE Africa Cores that aim to improve surgical outcomes at points in patient trajectories most likely to be impactful.