Luis Salamanca

Luis Salamanca

Sr. Data Scientist
Academia
(Alumni)

Luis is originally from Spain, where he completed his bachelor studies on Electrical engineering, and my Ms.C. on signal theory and communications, both at the University of Seville. During his Ph.D. he started focusing on machine learning methods, more specifically message passing techniques for channel coding, and Bayesian methods for channel equalisation. He carried it out between the University of Seville and the University Carlos III in Madrid, also spending some time at the EPFL, Switzerland, and Bell Labs, USA, where he worked on advanced techniques for optical channel coding. When he completed his Ph.D. in 2013, he moved to the Luxembourg Center on Systems Biomedicine, where he switched his interest to neuroscience, neuroimaging, life sciences, etc., and the application of machine learning techniques to these fields. During his 4 and a half years there as a Postdoc, he worked on many different problems as data scientist, encompassing topics such as microscopy image analysis, neuroimaging, single cell gene expression analysis, etc. He joined the SDSC in April 2018.

Projects

SEMIRAMIS

Completed
AI-augmented architectural design
Energy, Climate & Environment

NLP

In Progress
Narratives in Law and Politics: A Computational Linguistics Approach
Digital Administration

DemocraSci

In Progress
A research platform for Data-Driven Democracy Studies in Switzerland
Digital Administration

Citizen-Controlled

Completed
Citizen-controlled Data Science for Multiple Sclerosis Research
Biomedical Data Science

TE4med

Completed
Transposcriptome-based identifier for precision medicine
Biomedical Data Science

Publications

Mentioned in

November 1, 2022

SEMIRAMIS | A new approach to AI-Augmented architectural design

SEMIRAMIS | A new approach to AI-Augmented architectural design

As the world’s cities continue to grow, land is becoming increasingly scarce. However, open space is vital in urban areas. Semiramis is a new approach to AI-augmented architectural design, allowing designers a quick and easy selection of feasible performance values and a qualitative evaluation of the generated geometries.

Case Studies

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