From finding genes that cause cancer to finding improvements in diabetes patients, from understanding what politicians do on social media to predicting real-estate prices, from recommendation systems to causal inference, from deep learning to Bayesian model selection.

Our network of researchers, practitioners, statisticians, and data scientists are experienced in working on challenging problems within both industry and academia.

Case Studies

Method: Simulation and optimization
Marcelus Fabri, Helena Ramalhinho
Logistics optimization
Method: Word embeddings, Spectral clustering
Joan Verdú, Nandan Rao, Omiros Papaspiliopoulos
Analysis of tweets to understand main topics and triggering events, together with tweet toxicity
Method: Optimization
Jésica de Armas, Helena Ramalhinho
Crew optimization
Method: time series forecasting, machine learning
Joan Verdú, Jordi Llorens, Christian Brownlees
How to select reliable suppliers as candidates for micro-credits
Method: deep learning
Carlos Segura, Joan Verdú
Deep Learning applied to seed classification
Method: Jaws, Elasticsearch, Logstash, Kibana, Kubernetes, Belly, Google Cloud
Nandan Rao, Omiros Papaspiliopoulos
Exploration about how political actors use Twitter during elections in India
Method: Route Optimization
Daniel Serra
Optimization of warehouse location
Method: Decision trees. Classification, regression and hierarchical classification models
Ioannis Arapakis, Ilias Leontiadis
Automatic prioritization of service tickets with machine learning

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