1. DUKE UNIVERSITY MEDICAL CENTER
CURRICULUM VITAE
Date Prepared: December 15, 2014
Name: Roland Albert Matsouaka, PhD
Primary academic appointment: Department of Biostatistics and
Bioinformatics
Secondary appointment: Duke Clinical Research Institute
Present academic rank and title: Assistant Professor of Biostatistics and
Bioinformatics
Date and rank of first Duke Faculty
appointment:
September 2014; Assistant Professor of
Biostatistics and Bioinformatics
Place of Birth: Jacob, Republic of Congo
Citizen of: United States of America
EDUCATION
Institution Date Degree
High School Lycée Emery Patrice Lumumba
Brazzaville, Republic of Congo
1990 HS Diploma
College Université Marien Ngouabi
Brazzaville, Republic of Congo
1993 B.S. in Mathematics
Graduate or
Professional
School
Université de Ouagadougou
Ouagadougou, Burkina Faso
1995 M.S. in Mathematics
Université de Ouagadougou
Ouagadougou, Burkina Faso
1996 DEA (Postgrad) in
Pure Mathematics
Université Nationale du Bénin
Cotonou, Republic of Benin
1999 DEA (Postgrad) in
Applied Mathematics
Harvard School of Public Health
Boston, Massachusetts
2007 S.M. in Biostatistics
2. Curriculum Vitae Roland Albert Matsouaka,PhD
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Harvard School of Public Health
Boston, Massachusetts
2012 PhD in Biostatistics
PROFESSIONAL TRAINING AND ACADEMIC CAREER
Institution Position/Title Date
Harvard School of Public Health
Boston, Massachusetts
Postdoctoral Fellow 2012-2014
Northeastern University
Boston, Massachusetts
Visiting Scholar 2012-2014
RESEARCH AND PROFESSIONAL EXPERIENCE
1. Graduate Researcher Graduate School of Arts and Sciences and School
of Public Health, Harvard University
2007-2012
Developed a treatment assignments rule and quantified incremental value for new
covariate(s) for personalized medicine usingtreatment index scores.
Proposed a weighted Wilcoxon test based on worst rank scoring imputation for informative
missing data.
Developed powerand sample size formulas for the ordinary Wilcoxon test under both tied and
untied worst rank score imputations of informative missing data.
Conducted data analyses in the study of treatment effect on dendritic arborization complexity
on animal models, with data collected through Sholl’s plot analysis method
Conducted data analyses in the study of treatment effect on dendritic arborization complexity
on animal models, with data collected through Sholl’s plot analysis method
Conducted data analysis for the study of urinary biomarkers of acutekidney injury.
Worked, through different projects,with researchers from
Renal Division, Dept. of Medicine, Brigham and Women’s Hospital, Boston, MA
Institute for Neurodegenerative Disease, Mass.General Hospital, Boston, MA
Molecular Pathology Unit, Mass. General Hospital, Boston, MA
Massachusetts Eye and Ear Infirmary, Boston, MA
2. Consultant Molecular Pathology Unit
Massachusetts General Hospital
Boston, Massachusetts
Summer
2006 & 2007
Conducted data analysis to compare and select important predictors for patients undergoing non-
traumatic cardiac arrest coma
Conducted data analysis to study YKL-40 protein expression to better distinguish diagnostically
challenging brain tumors
3. Curriculum Vitae Roland Albert Matsouaka,PhD
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3. Visiting Researcher Unité FYMA, Université Catholique de Louvain
Louvain-la-Neuve, Belgium
2001–2002
Conducted research onwavelets andimage processing with applications to medical imagery and
detection of symmetry in patterns
PUBLICATIONS
1. V. S. Vaidya, S. Waikar, M. A. Ferguson, F. B. Collings, K. Sunderland, C. Gioules, G. Bradwin, R.
A. Matsouaka, R. Betensky, G. C. Curhan, and J. V. Bonventre, Urinary Biomarkers for Sensitive and
Specific Detection of Acute Kidney Injury in Human, Clin. Transl. Sci. 2008; 1(3): 200-208.
2. E. Hudry, H. Wu, M. Arbel-Ornath, T. Hashimoto, R. A. Matsouaka, D. Joyner, Z. Fan, T. L. Spires-
Jones, R. Betensky, B. J. Backsai, and B. T. Hyman, Inhibition of the NFAT pathway alleviates
Amyloid Beta neurotoxicity in a mouse model of Alzheimer disease. The Journal of
Neuroscience 2012; 32(9):3176-3192.
3. T. L. Spires-Jones, K. Kay, R. A. Matsouaka, A. Rozkalne, R. Betensky, B. T. Hyman, Calcineurin
inhibition with systemic FK506 treatment increases dendritic branching and dendritic spine density in
healthy adult mouse brain, Neurosci. Lett. 2011; 487(3): 260-263.
4. J. Qu, R. Matsouaka, R. A. Betensky, B. T. Hyman, and C. L. Grosskreutz Calcineurin activation
causes retinal ganglion cell degeneration. Molecular Vision 2012; 18: 2828-2838
5. R. A. Matsouaka, Eric Tchetgen Tchetgen, Maximum Likelihood Estimation of Structural Nested
Logistic Models with an Instrumental Variable, In Proceedings of the 29th Conference on Uncertainty
in Artificial Intelligence (UAI-13). Seattle, Washington. 2013.
6. R. A. Matsouaka, J. Li, T. Cai, Evaluating marker-guided treatment selection strategies, Biometrics
2014; 70(3): 489-499.
7. R. A. Matsouaka, R. A. Betensky, Power and sample size calculations for the Wilcoxon–Mann–
Whitney test in the presence of death-censored observations, Statistics in Medicine 2014
8. R. A. Matsouaka, R. A. Betensky, Optimal Wilcoxon—Mann—Whitney test in the presence of death-
censored observations, Statistics in Medicine (in press).
TALKS AND PRESENTATIONS
1. Analysis of a composite endpoint, with interim analysis of mortality. Joint Statistical Meetings 2009,
Washington DC; August 3, 2009.
2. Wilcoxon test in presence of missing observations due to death: power and sample size calculations.
Future Faculty Workshop. Rice University, Houston TX; September 11, 2012.
3. Maximum Likelihood Estimation of Logistic Structural Logistic Models with an Instrumental variable.
Posterpresentation at the Atlantic Causal Inference Conference. Harvard University, Boston, MA; May
20, 2013.
4. Maximum Likelihood Estimation of Logistic Structural NestedModels with an instrumental variable.
29th Conference on Uncertainty in Artificial Intelligence; University of Washington, Seattle, WA; July
15, 2013.
4. Curriculum Vitae Roland Albert Matsouaka,PhD
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5. Likelihood-Based Estimation of Logistic Structural Nested Models in Randomized Clinical Trials with
Non-compliance. 2013 NC-ASA Symposium: Celebrating the International Year of Statistics; North
Carolina State University, Raleigh, NC; October 12, 2013
CONFERENCES AND WORKSHOPS
Event Place Date
2013 NC-ASA Symposium: Celebrating
the International Year of Statistics
North Carolina State University
Raleigh, North Carolina
2013
Future Faculty Workshop Rice University
Houston, Texas
2012
Harvard Merck Workshop Harvard School of Public Health
Boston, Massachusetts
2010, 2011
2012, 2013
Building Future Faculty Program North Carolina State University
Raleigh, North Carolina
2010
Symposium in Honor of Steve Lagakos Harvard Medical School
Boston, Massachusetts
2010
Harvard Schering-Plough Workshop Harvard School of Public Health
Boston, Massachusetts
2009
RESEARCH SUPPORT
1R01HL118336-01 (PI: Butch Tsiatis; Duke PI: O’Brien, Sean) 06/01/2013-05/31/2017
NHLBI/North Carolina State University (NCSU)
Statistical Methods for Complex Data in Cardiovascular Disease (Subcontract)
The goal of this research is to provide health sciences researchers with novel, principled statistical
methods for addressing several complex challenges arising in cardiovascular disease with time-to-an-
event endpoints in large observational databases and clinical trials. The grant is collaboration between
NCSU and Duke and was awarded under the NIH multiple PI mechanism.
Role: Co-Investigator
DCRI 661 Society of Thoracic Surgeons (STS) (PI: Peterson, Eric) 01/01/2013-12/31/2015
STS Data Warehouse and Analysis Center
The goal of this project is to manage a national data warehouse for the STS adult cardiac surgery
database, the STS congenital cardiac surgery database, and the STS general thoracic surgery database.
The data warehouse harvests and analyzes data from more than 1000 US and Canadian hospitals. Duke
develops models for risk adjustment and risk prediction, performs research analyses, and develops
statistical methodology for feedback reporting to participating surgeons and institutions.
Role: Co-Investigator
DCRI 5743 (PI: Peterson, Eric) 03/01/2012-12/31/2015
American College of Cardiology/Society of Thoracic Surgeons
Transcatherer Valve Therapy (TVT) Registry Analytic Center
5. Curriculum Vitae Roland Albert Matsouaka,PhD
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This is a registry of patients with valvular heart disease to monitor device performance, long-term
outcomes, and performance of comparative effectiveness research.
Role: Co-Investigator
PCORI (PI: Matthew Brennan) 01/01/2014‐12/31/2016
Optimizing Health Outcomes in Patients with Symptomatic Aortic Valve Disease
The goal of this researchis to compare contemporary health outcomes with surgical versus transcatheter
aortic valve replacement and to create a decision support tool for use by patients and clinicians
Role: Co-Investigator
HONORS, AWARDS, SPECIAL RECOGNITIONS, AND FELLOWSHIPS
Grant/Awards Institution Date
Harvard Neurostatistics Training Grant Harvard School of Public Health
Boston, Massachusetts
2008–2012
Harvard Cancer Training Grant Harvard School of Public Health
Boston, Massachusetts
2006–2008
Horace W. Goldsmith Fellowship Harvard School of Public Health
Boston, Massachusetts
2005–2006
Bourse d’Etudes de la Cooperation Belge
au B´enin
Université Nationale du Bénin
Cotonou, Republic of Benin
1998–2002
Bourse d’Etudes de l’Etat Congolais Université Marien Ngouabi
Brazzaville, Republic of Congo
1990–1996
TEACHING EXPERIENCE AND MENTORSHIP
Co-head Teaching Fellow
Developed, organized, and led training programs for graduate TAs
Program Institution Date
Departmental TeachingFellowship Derek Bok Center, Harvard University
Cambridge, Massachusetts
2008–2012
Department of Biostatistics Harvard School of Public Health
Boston, Massachusetts
2008–2012
TeachingAssistant (TA) (laboratory, office hours, and grading responsibilities)
Harvard University Department of Biostatistics, Boston MA 2008–2010
Course Instructor
BIO 250: Probability Theory and Applications II (Fall 2009, 2010 and2011)
Advanced elective course for Biostatistics PhD students.
Bob Gray
6. Curriculum Vitae Roland Albert Matsouaka,PhD
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BIO 200: Principles of Biostatistics (Fall 2007 and 2008)
Introductory biostatistics course, mostly for biomedical MPH students.
(Served as Head TA: managed a class of about 150 students,supervised 7
others TAs, held weekly TA meetings, revised and updated lab materials,etc.)
David Wypij
BIO 202: Principles of Biostatistics I (Summer2008)
Introductory biostatistics course (Part I) for biomedical MPH students
Marcia Testa
BIO 203: Principles of Biostatistics II (Summer2008)
Introductory biostatistics course (Part II) for biomedical MPH students
Jiang Hongyu
Harvard University Extension School, Cambridge MA 2008–2010
Course Instructor
STAT E-50: Introduction to Statistics (Fall 2009–Spring 2010) Joan Weinstein
STAT E-102: Fundamentals of Biostatistics (Spring & Summer2010) Bernard Rosner
Biostatistics Tutor
Institution Topics Date
Office of Student Affairs,
Harvard University
Regressions; Clustered, Survival, and Longitudinal
Analysis; Analysis of Rates and Proportions
2005-2012
High School Mathematics Teacher
Institution Place Date
Lycée Notre Dame Porto-Novo, Republic of Benin 1998–2001
Lycée Technique Ouagadougou, Burkina-Faso 1995–1998
Groupe Scolaire du Plateau Ouagadougou, Burkina-Faso 1995–1996
Moniteur des Travaux Dirigés (laboratory and grading responsibilities)
Institution Place Date
Université de Ouagadougou Ouagadougou, Burkina-Faso 1996–1998
Analyse I and Analyse II (Instructors: Akry Koulibaly and Albert Ouedraogo)
Equivalent to Calculus I and Calculus II: classes for students majoring in Economics
ORGANIZATIONS AND PARTICIPATION
Organization Status Date
American Statistical Association Member 2007-Present
International Biometric Society,
Eastern North American Region
Member 2011-Present
7. Curriculum Vitae Roland Albert Matsouaka,PhD
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AREAS OF RESEARCH INTERESTS
My research interests are motivated by challenges that arise in clinical, biomedical, and public health
settings with the goal of developing, applying, and integrating these methods and other innovative
statistical approaches to assist in decision making and advance health care research.
My current methodological interests are in the areas of:
models selection and validation;
risk adjustment and health care evaluation;
biomarker evaluation;
personalized medicine in disease diagnosis, prognosis, and treatment;
prediction methods;
causal inference methods;
semiparametric and nonparametric methods.
My research activities focus on developments of statistical methods required for appropriate responses
to analytical challenges of complex cardiovascular research outcomes.
LANGUAGES
French (fluent)
PERSONAL INFORMATION
Preferred Name: Roland
Office Address: Duke Clinical Research Institute
6021 North Pavilion
2400 Pratt Street
Durham, NC 27705
Mailing Address: Duke Box 3850
Durham, NC 27710
Office Phone Number 919 668 7838