Data Champions Search

 I am a Geoinformatics Engineer. I have been actively contributing to the geospatial domain in both Academia and Industry since 2015. During this time I have used my expertise to make end-to-end solutions from data acquisition, data management and provision of services in the application areas of Urban planning, Vehicle tracking, Rescue services, Location based services and Archaeology.

Karla’s PhD is about the level of energy services used in different countries with a focus on development. The research involves analysing country-level databases, performing statistical analyses and making visualisations. 

Karla holds a Bachelors’ degree in Chemical Engineering from the National Autonomous University of Mexico (UNAM) and an MSc from University College London (UCL). 

Karla’s professional experiences before the PhD included working for the non-alcoholic beverage industry in Mexico in the areas of quality, environment protection and operations management.

I am a PhD student based at the Cognition and Brain Sciences Unit and the Department of Psychiatry at the University of Cambridge. My research is aimed at disentangling the relationship between technology use and youth mental health. I am passionate about Open Science, and I am a junior representative of Rotterdam RIOT a science club that promotes reproducible, interpretable, open and transparent research practices. Before my PhD, I graduated in Psychology from Erasmus University Rotterdam and subsequently attended an MSc in Research Methods at the University of Oxford.

I am a neuroscientist studying human speech perception with the aim of advancing assistive speech (neuro)technologies and AI speech recognition systems. My background is in cognitive neuroscience and medicine.

I am an expert in human neurophysiology methods (electro- and magnetoencephalography, EEG/MEG) combined with machine learning and artificial neural network modelling (deep learning).

Since the beginning of my PhD, I’ve been passionate about reproducible and open science practices such as data and code sharing, and good coding practices including version control. In my department I am leading the adoption of the standardised Brain Imaging Data Structure (BIDS) for storing and sharing human neurophysiology (MEG/EEG) data.