Rigorous Evidence · Equitable Delivery · Community Partnership
Clinical trials are the backbone of evidence-based medicine, but generating evidence and implementing it are two different disciplines: both equally demanding. Our group works across this entire spectrum: co-designing and contributing to interventional trials as investigators, trialists and statisticians/methodologists, and embedding implementation science to ensure findings reach the populations who need them most.
We bring particular expertise in critical care and infectious disease trials, both national and international, frequently contributing rigorous statistical frameworks including pre-registered protocols and statistical analysis plans (SAPs). In parallel, our community-embedded implementation science addresses the gap between what trials show and what actually happens on the ground. We have acquired special expertise in implementation science, particularly in vulnerabilised settings where standard trial infrastructure is absent and community trust must be earned.
Our Data Safety Monitoring Board (DSMB) work gives us experience and a privileged vantage point across a broad portfolio of trials worldwide, informing decisions that directly affect participant safety and the integrity of the evidence base.
~50,000
Randomised Patients
Clinical Trials
Randomised controlled trials where I contributed as PI, trialist or lead statistician, including traditional and adaptive designs, frequentist and Bayesian frameworks.
CON-
NECT
Design: Stepped-wedge cluster RCT, open-label, multicentre, N = 966 patients (target) ·
Role: Co-PI / Steering Committee / Trialist ·
Setting: 6 ICUs ·
Period: 2026-2028
TELE-
SCOPE·2
Design: Stepped-wedge cluster RCT, open-label, multicentre ·
Role: Scientific coordinator / Trialist ·
Setting: 25 ICUs ·
Period: 2024-2026
NoVa
Design: Multicentre, open-label, randomised controlled trial · Setting: 20 centres · N = 2,800 patients (target) ·
Role: Steering Committee / Trialist ·
Period: 2024–
TELE-
SCOPE
Design: Parallel cluster RCT with baseline period, N = 15,230 patients ·
Role: Co-PI ·
Setting: 30 ICUs · Period: 2019-2021
V-TRI-
AGE
Design: Randomised factorial vignette trial, N = 125 intensivists ·
Role: Co-Investigator ·
Setting: Brazil · Period: 2021
Blue
Space
Design: Randomised crossover study, N = 59 participants ·
Role: Trialist ·
Setting: Barcelona, Spain · Period: 2017
WAL-
NUTs
Design: Cluster RCT, N = 771 adolescents ·
Role: Trialist ·
Setting: 12 high schools · Period: 2016-2017
Gravity-
VAP
Design: Multicentre RCT, N = 395 patients ·
Role: Methodologist/Trialist ·
Setting: Multiple European countries · Period: 2010-2015
Implementation Science
Implementation science asks not just what works in trials, but how proven interventions can be delivered equitably at scale, in hospitals and communities that need them most. Our work spans vaccine delivery and infectious disease prevention in vulnerabilised urban settings, and quality improvement in emergency and critical care globally.
We draw on rigorous methodological frameworks, including Hybrid Effectiveness-Implementation Trial Designs and the Consolidated Framework for Implementation Research (CFIR), while embracing innovative and creative approaches that go beyond standard templates: partnering with local organisations, embedding community health workers, co-designing data collection tools with frontline staff, and adapting interventions to resource-constrained realities. We work with communities, clinicians and stakeholders.
Community-based interventions
Dengue
Setting: Dourados, Mato Grosso do Sul, Brazil (~250,000 inhabitants) ·
Role: Researcher / Epidemiologist ·
Design: Implementation study + prospective cohort for VE estimation · Period: 2024-
Wol-
bachia
Design: Ecological study, neighbourhood-level interrupted time series ·
Role: Epidemiologist / External Evaluator ·
Setting: Campo Grande, Brazil (first federal Wolbachia deployment) · Period: 2020-2024
Vacina
Maré
Setting: Maré favela complex, Rio de Janeiro, Brazil ·
Role: Scientific Coordinator / Implementation Scientist ·
Design: Implementation study + embedded test-negative VE study ·
N: >36,000 residents vaccinated · Period: 2021-2022
Critical Care Quality Improvement
EQUIPS-
ICU
Design: Type III hybrid implementation-effectiveness study, 35 ICUs, 11 LMICs ·
Role: Co-Investigator (active) ·
Setting: Asia & Africa, CCAA Network · Period: 2025-2026
AIR
Design: Multicentre Hybrid Type II implementation-effectiveness study, N = 427 patients ·
Role: Methodologist / Implementation Scientist ·
Setting: 4 hospitals · Period: 2024–2025
ICU
Triage
Design: Prospective before-after study, Tertiary Hospital, 110 ICU beds, N = 2,374 urgent referrals ·
Role: Researcher ·
Setting: Tertiary hospital network, Brazil · Period: 2014-2015
Light
Sedat.
Design: Quality improvement multicentre project, interrupted time series, 10 ICUs, N = 22,963 patients ·
Role: Implementation scientist ·
Setting: AMIL network, Brazil · Period: 2010-2012
Sepsis
Edu
Design: Pre-post multicentre study, 10 hospitals (1,650 beds), N = 2,120 patients ·
Role: Co-Investigator / Methodologist ·
Setting: AMIL network, Brazil · Period: 2010–2012
Where have we been working?

Countries involved in clinical trials and implementation science work (n = 17).
Data Safety Monitoring Board (DSMB) Memberships
As an expert, I have contributed to independent DSMBs, either as chair, trialist or statistician. My role is to protect participant safety, guarantee high methodological and ethical standards, review accumulating unblinded data on efficacy and harm, and make independent recommendations to trial steering committees, including decisions to stop, modify, or continue a trial.
RENO-
VATE
Design: Bayesian adaptive noninferiority RCT, 1,800 participants ·
Setting: 33 hospitals ·
Condition: Acute respiratory failure (5 patient groups)
REVO-
LUTIOn
Design: Phase II/III adaptive multi-arm RCT, 255 participants ·
Setting: 35 centres ·
Condition: Hospitalised COVID-19 with hypoxaemia
LERON-
LIMAB
Intervention: Leronlimab (CCR5 antagonist) ·
Condition: COVID-19 ·
Period: 2021-2022
STOP-
COVID
Design: Phase III RCT, 1:1, 289 participants ·
Setting: 15 sites ·
Condition: Hospitalised COVID-19 pneumonia
🧠 Key Principle
Evidence from clinical trials is only as valuable as its reach. We design studies to answer questions that communities already have, and we build the implementation infrastructure to deliver findings where they matter.