Sampling Statistician · Data Scientist

Designing surveys that inform decisions and building tools that scale expertise

I help organizations design complex surveys, strengthen statistical capacity, and turn complex data into actionable insights. I also build open-source tools to make rigorous methodology accessible to all.

Survey Design Sampling & Estimation Small Area Estimation Capacity Building Data Science Statistical Software Development Python R Stata SAS
Mamadou S. Diallo, Ph.D.
18+
Years in survey methodology
195
Countries (WUENIC, UNICEF)
20+
Peer-reviewed publications
30+
Countries capacity-built
UNICEF Westat NORC Statistics Canada United Nations WHO Gavi NSOs

About

Statistician by training.
Builder by instinct.

I'm Mamadou S. Diallo — a Ph.D. statistician based in Hoboken, NJ. For nearly two decades, I've designed complex surveys and built statistical systems for some of the world's most demanding institutions: Statistics Canada, UNICEF, Westat, and NORC at the University of Chicago.

My work spans designing multi-stage national household surveys across Sub-Saharan Africa, leading the global WUENIC immunization estimates for 195 countries, and training national statistics offices from Ethiopia to Vietnam in advanced sampling techniques.

I believe great methodology should be accessible. That's why I build open-source tools — Samplics, svy, svyLab — that put production-grade survey statistics into the hands of researchers everywhere.

Education

Ph.D. Statistics, Carleton University
M.Sc. Statistics, Laval University

Credentials

ASA Member · AAPOR Member · Guest Editor, JSSAM 2025

Languages

English & French — fluent in both speaking and writing

Based in

Hoboken, NJ — available for remote and on-site engagements worldwide

Services

How I can help

I work with international organizations, government agencies, NGOs, and research institutions on engagements ranging from short-term technical assistance to multi-year survey programs.

Survey Design & Sampling

End-to-end design of complex, multi-stage surveys — from sample frame development and size calculation through selection, weighting, calibration, and variance estimation.

Statistical Capacity Building

Hands-on training and technical backstopping for national statistics offices, research teams, and data analysts — in English or French, remote or on-site.

Data Science & Analysis

From cross-tabulation to machine learning — rigorous analysis of survey and health data using Python, R, and reproducible research workflows.

Small Area Estimation

Producing reliable subnational statistics when direct survey estimates fall short — using model-based approaches refined through years of applied work with national offices.

Statistical Software & Tools

Custom Python and R tools for survey operations — sampling selection utilities, weighting pipelines, analysis dashboards, and automated reporting systems.

Impact Evaluation Design

Quasi-experimental designs for measuring program impact — in education, nutrition, health, and development contexts across low- and middle-income countries.

Work & Tools

Selected projects & open-source tools

A selection of the tools I build and the work that shapes them.

Platform

svyLab™

A cloud-native, AI-enabled analytics platform unifying survey, epidemiological, and health data workflows. Built on Google Cloud Run with CI/CD, svyLab brings professional-grade survey analysis to researchers who need reproducible, shareable results — without managing infrastructure.

Visit svylab.com →
Python Package

svy

A high-performance Python package for survey design and analysis and design-based causal inference. Built with Rust, Polars, and msgspec under the hood for speed and reliability.

View on PyPI →
Python Package

Samplics

A comprehensive open-source library for sampling, weighting, and analysis of complex survey data. Published in the Journal of Open-Source Software (JOSS).

JOSS Paper →
Consulting

McGovern Dole Program Surveys

Led the end-to-end design of national education and nutrition surveys in The Gambia (2023) and Togo (2024) for Catholic Relief Services — from sample design to data analysis.

Research

PHIA Surveys — Sub-Saharan Africa

Lead sampling statistician for the Population-based HIV Impact Assessment surveys across eight African nations at Westat — a flagship official statistics initiative.

Research

WUENIC — Global Immunization Estimates

Led the annual production of WHO/UNICEF Estimates of National Immunization Coverage for 14 vaccines across all 195 UNICEF member states — integrating survey, administrative, and geospatial data.

Capacity Building

Small Area Estimation for NSOs

Built technical capacity in SAE methods for the national statistical offices (NSOs) of Burundi, Ethiopia, Senegal, and online trainings for many more NSOs — enabling subnational estimates from existing survey data.

Publications

Selected publications

Peer-reviewed work in survey methodology, small area estimation, public health, and machine learning.

Get in touch

Let's work together

I'm available for consulting engagements — from short-term technical assistance and training workshops to full survey design and implementation. I work in English and French, remotely or on-site worldwide.

Send a message