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.