The REDUCE project unites a multidisciplinary group of professionals and organizations, each playing a key role in achieving its goals. Meet the team behind the initiative.

06/01/2024
TBD
Postdoc | WP5

Revealing IUU fishing activities based on bird-borne devices and AIS/VMS data

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27/05/2025

Diego José Arévalo Ayala

Postdoc | WP6

Demographic impacts of bycatch on seabirds

  1. Focused on studying long-lived species populations, applying capture-recapture methods and analyzing environmental factors that influence their population trends using both frequentist and Bayesian frameworks.
  2. Contributing to species conservation through science-based evidence, interdisciplinary collaboration, and the inclusion of knowledge from local communities, practitioners and civil society actors.
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23/05/2025

Alejandro Espada Pastor

Graduate Research Assistant | WP5

Bayesian spatio-temporal modelling of fishing effort

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nuria patino

01/06/2024

Nuria Patiño
PhD | WP5

Assessing Seabird-Fishery Interactions with Bird-Borne Sensors and Vessel Tracking Systems

1. Interactions between shearwaters and fishing vessels
2. Compare different techniques of detecting seabird-fishery encounters (GLS, radar detectors or seabird movement data)

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1/9/2024

Esther Mollier

PhD | WP3, WP6, WP7

DFAD environmental impacts for tropical tuna purse seine fishery in the Atlantic Ocean

TBD

institut recherche
clara lerebourg

1/9/2024

Clara Lerebourg

PhD | WP5, WP8

Multi-species modeling of bycatch and marine spatial planning for EU tropical tuna fisheries of the Atlantic Ocean

TBD

institut recherche

5/05/2025

Luis Wencheng Lau-Medrano

PhD | WP3

Artificial intelligence for a better understanding of stock size and fishery dynamics in tropical tuna purse seine fisheries

TBD

institut recherche

1/9/2024

Lucy Arnaud

Master student | WP3

Developing a Convolutional Neural Network for Bycatch Species Recognition in the floating object purse seine fishery in the Eastern Central Atlantic Ocean

TBD

institut recherche

1/2/2025

Ricardo Cardoso Pereira

Postdoc | WP3

Ocean data science, machine learning models for bycatch species identification

1. ML tools: ML model training, validation and testing for main bycatch species identification
2. Cross-validation: comparative analysis of ML models.
3. Expandable analysis: Create an easy-to-use system for analyzing different features and areas.                                                          4. Investigate innovative computational methods to overcome current challenges in predicting megafauna bycatch from Electronic Monitoring Systems (EMS) data.

 

2/9/2024
Diego Fernández
PhD | WP5

Distribution and abundance modelling of cetaceans occurring in the Eastern Atlantic and their interaction with commercial fisheries.

1. Cetacean Habitat Models for the Eastern Atlantic
2. Spatial Bycatch Risk Assessment for cetaceans in the Eastern Atlantic
3. Bycatch Estimates for Iberian harbour porpoise
4. Dynamic ocean management measures for the conservation of the Iberian harbour porpoise

csic
15/1/2024

Paola Gabasa

PhD | WP5 & WP8

Study of the movement ecology of pelagic sharks in the Western Mediterranean and Atlantic Ocean and its relationship with fisheries. Main topics: species distribution modeling and bycatch risk assessment

1. Monitor the presence and distribution of pelagic sharks in the Western Mediterranean and Atlantic Ocean using a multiplatform approach.
2. Study the distribution of pelagic sharks in relationship with mesoscale structures
3. Assess the spatiotemporal dynamics of fishing activity and bycatch risk for pelagic sharks in the Atlantic Ocean
4. Assess dynamic ocean management approaches to support shark conservation

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3/6/2024

Leia Navarro Herrero

Postdoc | WP5

Fisheries research and management, with a focus on understanding various aspects of fishing activities, including distribution, illegal practices, ghost gear impact to inform sustainable fisheries management practices

1. Examining fishing effort distribution and assessing harbor responsibilities in the eastern central Atlantic: a comprehensive method utilizing vessel tracking Systems.
2. Identifying illegal fishing activities in west african waters via seabird movements: integration of vessel tracking systems, satellite imagery, and bird-borne radar detection.
3. Identifying fishing practices (métiers) through vessel movement patterns and machine learning techniques.

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David Ruiz
1/1/2025
David Ruiz
PhD | WP4 & WP5

Pelagic health assessment, spatial distribution of demersal sharks and rays

1. Spatio-temporal distribution of demersal chondrichthyans in West Africa
2. Predictive health assessment for post-release mortality in pelagic sharks

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ignacio de saint malo
3/6/2024
Ignacio de Saint Malo
PhD | WP5 & WP8

Bayesian spatial distribution models, sea turtles

1. Bayesian species distribution models for animal telemetry
2. Spatio-temporal distribution of sea turtles in West Africa
3. Assessing bycatch of sea turtles in West Africa
4. Dynamic ocean management approaches to support sea turtle conservation

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3/6/2025

Lucas Bastos

Graduate Research Assistant | WP6

Population Genomics Analysis

  1. Building a repository of samples for genetic analysis of key ETPS
  2. Collecting publicly available and new genetic and genomic resources
  3. Various bioinformatic analysis
teresa militao
17/4/2024
Teresa Militão
Postdoc | WP3 & WP6 & WP7 & WP9

Postdoctoral researcher in bycatch ecology and fisheries research

1. Methods for bycatch ecological data analysis
2. Effectiveness of EMS
3. Bycatch interactions with fishing gears
4. methods for bycatch monitoring

vasileios minasidis
3/6/2024
Vasilis Minasidis
PhD | WP3

Industrially focused PhD project with DataFish.

1. Electronic monitoring systems (EMS) database optimization,
2. Machine learning model-assisted tagging of bycatch events from EMS to accelerate the labelling of EMS images,
3. Deep learning model development for bycatch (megafauna) species detection and classification from images
4. Combining deep learning (DL) models for bycatch estimation
5. Comparative analysis of DL models versus fisheries observers’ data

sofia ten
8/1/2025
Sofía Ten
Postdoc | WP4 & WP6

Epibionts as ecological and health indicators

1. To make a health assessment of sharks and marine turtle to be released after capture
2. To gather information on epibionts that assist in informing on ecological, populational and behavioral traits of by-caught / stranded animals

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nuria patino
1/1/2025

Gonçalo Ramos

PhD | WP4

Post-release mortality of smooth hammerhead sharks in coastal (off Australia) and pelagic (western Africa) regions.

1. Horizontal and vertical movements
Explore the long-term movement of smooth hammerheads, describing the species migratory movements and diving behaviour, while also identifying high use areas along NSW coast and in the open ocean of the NA, allowing to compare the two distinct environments.
2. Post-release survivability
Assess the at-vessel mortality rate and post-release survivability of smooth hammerheads caught on SMART drumlines in NSW and in pelagic longlines (NA); describe factors affecting survivability, along with sub-lethal effects and recovery periods. Data from NSW will be used as a baseline for comparisons with data from pelagic longlines.
3. Capture probability on SMART drumlines
Describe the spatiotemporal variability of hammerhead captures on SMART drumlines, assessing biotic (e.g., sex and size of individuals) and abiotic (e.g., water temperature) factors influencing capture probability, and inferring about the species’ spatiotemporal distribution along a rapidly changing coastal environment (i.e., NSW).
4. Trophic ecology
Use stable isotope analysis from tissue samples of hammerheads captured in NSW and in the NA, aiming to assess and compare the species trophic ecology in an oceanic vs. a coastal environment, describing foraging habitats and the most likely prey items

15/4/2025

Alessandra Cani

Postdoc | WP4

Reducing bycatch of threatened megafauna in the Eastern Central Atlantic

– Instrumentation of sea turtles incidentally caught on a commercial longline vessel.
– Analysis of the data collected by the satellite tags: habitat use and post-release mortality assessment.

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2/1/2025

Sarah Saldanha

Postdoc | WP2

Data Scientist and Data Manager

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1/4/2024

Ana Mafalda Correia

Postdoc | WP5 & WP6

Modelling bycatch and tagging carcasses, cetaceans

1. Coordination of CIIMAR activities
2. Data processing for modelling bycatch risk
3. Assessment of health indicators and tagging of bycaught cetaceans

nuria patino
Helena Nina Del Río
PhD | WP3

ML model developping

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nuria patino

Juliette Champsaur

Graduate Research Assistant | WP6

Statistical modelling (impact (e.g. PBR), risk, habitat)

csic
andrea farin
Andrea Fariñas
Postdoc | WP6

Strandings task plus statistical modelling

csic
Postdoc | WP4

Postdoc | WP5

Postdoc | WP5
Postdoc | WP6 & WP8 & WP9