WOAH Datathon
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WOAH DATATHON

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S
Said Abdi Ahmed

Dedicated and hard-working Humanitarian with a strong passion for helping others and a comprehensive background in providing professional support to vulnerable household in Somali regions. Offers well-developed knowledge of Sociology and excellent problem solving skills

Vet doctor
🎯 Epidemiologist on livestock disease
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D
Daouda OUEDRAOGO

As a veterinary surgeon with a Master’s degree in the epidemiology of communicable diseases and health risk management, I am passionate about research and a job well done. With a solid understanding of the challenges facing the livestock sector in Africa, I am particularly interested in current issues such as climate change, the ‘One Health’ concept, and zoonotic diseases. My sense of duty and my commitment to voluntary work are reflected in my involvement in animal welfare, environmental protection and the promotion of the ‘One Health’ approach.

Epidemiologydata analysisveterinary medecineAnimal health science
🎯 Veterinary epidemiologist
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M
Melkie Dagnaw fenta

I am an Assistant Professor of Veterinary Clinical Medicine at the University of Gondar, Ethiopia. I hold an M.Sc. in Biostatistics and my research focuses on antimicrobial resistance, zoonotic diseases, veterinary epidemiology, and systematic review and meta-analysis within a One Health framework. skills, Evidence synthesis , Statistical data analysis, complex data management and mathematical modeling,. Software skills R, python , MATLAB..

Statistical and clinical data designdata analysis in advanced tools
🎯 participating Writing up
GitHubLinkedInNA
N
Nicolas Decoopman

I analyze and structure complex systems to design robust and operational solutions. A veterinarian by training, I have retained scientific rigor and sound judgment in high-risk situations. I possess a diagnostic approach to massive architectures. My expertise combines data engineering, distributed systems, and operational implementation: from data ingestion to the delivery of decision-making tools in production.

Data science
🎯 Vet Data scientist
GitHubLinkedInhttps://ncsdecoopman.github.io/
M
Matilde de Carvalho Noverça Rebelo Lages

I am a veterinary student at the University of Porto, Portugal, with a strong interest in veterinary public health, animal welfare, and One Health approaches. My experience includes animal population management programs - particularly sterilization and vaccination campaigns in Cabo Verde and São Tomé e Príncipe. I am passionate about using data-driven methodologies to improve animal health programs and their impact on communities, with a focus on zoonotic diseases and population control strategies.

Animal population management · Veterinary public health · Data analysis · Scientific writing · One Health
🎯 General support
GitHubLinkedInNA
P
Pablo Espinosa

Epidemiologist and public health researcher with a strong background in infectious disease modeling, real-world data analysis, and health systems. I have experience developing predictive models (SIR, ARIMA), evaluating cost-effectiveness of public health interventions, and working with surveillance and outbreak data. My work integrates statistical rigor with decision-making, aiming to generate actionable insights for health policy and disease control. Currently a PhD candidate in Epidemiology and Public Health.

Epidemiologybiostatisticsinfectious disease modeling (SIRtime seriesARIMA)real-world data analysishealth data interpretationoutbreak analysissurveillance systemscost-effectiveness and cost-benefit analysisR programmingSTATAMATLABepidemiological study designdata cleaning and validationstatistical inferencepublic health decision-makingscientific writingreproducible research
🎯 I am looking to contribute as an Epidemiological Data Scientist and Disease Modeler, focusing on study design, modeling strategy, interpretation of results, and translation of findings into actionable insights. I am particularly interested in collaborating with teams that combine data science, machine learning, and geospatial analysis.
GitHubLinkedInNA
J
John Juma

I am a bioinformatician and genomic epidemiologist studying pathogens by leveraging genomics and phylodynamic modelling to understand the transmission dynamics. In my routine responsibilities, I prepare, curate datasets from different sources including genomic, epidemiological, environmental/climatic e.t.c and integrate these datasets for analyses that focus on pathogen evolution and spread.

Bioinformatics/Computational biologyProgramming in RPython and BASHWorkflow orchestration - NextflowJob scheduling - SLURMCloud computing - AWSStatistical modellingPhylodynamicsAMR profilingPathogen genomicsCommunicationReporting and Writing
🎯 AMR surveillance, Antibiotics usage and AI
GitHubLinkedInNA
M
Magdalena Ojeda

Data Analyst / Reporting role, supporting epidemiology or veterinary teams with data structuring, quality, and translating results into clear insights and visual outputs. For the Datathon, I’m keen to contribute in reporting, data exploration, and translating findings into meaningful visuals and narratives.

SQLPower BI and a bit of Python
🎯 Data Scientist, Epidemiologist / Veterinary Specialist, and Data Engineer
GitHubLinkedInNA
K
Kamal Muhammad Ibrahim

I am a veterinary professional and AMR-focused researcher from Nigeria with interests in animal health surveillance, antimicrobial stewardship, and data-driven decision support. My background combines veterinary medicine, pharmacology, toxicology, and applied research, with experience in scientific writing, laboratory work, and health data interpretation. For the WOAH Datathon, I am developing a Challenge 7 concept around forecasting and benchmarking antimicrobial use in animals using ANIMUSE data, with emphasis on interpretable outputs for surveillance and policy.

Veterinary medicineAMRanimal health surveillanceresearch writingdata interpretationbasic R/Excel/SPSS/GraphPadmolecular biologybioinformatics basics.
🎯 Looking for a data analyst or data scientist with strong forecasting, statistics, or time-series skills, and ideally someone with experience in data visualization, dashboards, or reproducible analytical pipelines. Interest in animal health, epidemiology, AMR, or surveillance would be a strong advantage.
GitHubLinkedInNA
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