Alba Cervantes Loreto

Ecologist – Data Scientist

Role at Cawthron

As a member of Cawthron’s Data Science team, Alba collaborates with scientists across various disciplines, providing specialist expertise in statistics, data organization, and computational methods for science projects. Her research interests focus on applied quantitative ecology, employing innovative statistical and modelling techniques to analyse ecological data. Alba’s work spans multiple areas, with a particular emphasis on studying species interactions, understanding the effects of environmental drivers on ecological communities, and developing methods for environmental reporting. 

Technical skills, experience and interests

• Mathematical and statistical modelling

• Reproducible computational research

• Theoretical ecology

• Experimental design

• Data wrangling and visualization

• Mentoring on statistics and programming

Qualifications

• PhD Ecology, University of Canterbury, New Zealand, 2022 
• Licenciada en Ciencias Biológicas, Universidad Nacional Autónoma de México, México, 2018 

Professional Affiliations

• New Zealand Statistical Association