Carles Rodas
Research Scientist at Imperial College London
United Kingdom
Summary
👤
Senior🎓
Top SchoolCarles Rodas is a PhD candidate and Graduate Teaching Assistant at Imperial College London with nine years of experience bridging machine learning research and practical engineering. Trained in Engineering Physics and Computer Science at UPC and holding an MSc in Machine Learning from KTH, he focuses on causal discovery, representation learning, and sequential data modeling while combining research roles at KTH and a recent Applied Science internship at Amazon. Comfortable in both academia and industry, he has hands-on experience from software development and research engineering to international collaborations (including a visiting stint at the University of Toronto). Based in Germany and originally from Reus, Spain, he brings a multidisciplinary perspective shaped by physics, computer vision, and applied ML, and balances deep technical work with interests like chess and padel that reflect strategic thinking and teamwork.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Imperial College LondonKTH Royal Institute of TechnologyBachelor’s Thesis Computer Vision, Bachelor’s Thesis Computer Vision at University of TorontoUPC Universitat Politècnica de CatalunyaBachelor's degree Informatics Engineering & Engineering Physics, Bachelor's degree Informatics Engineering & Engineering Physics at CFIS-UPC
Catalan, Spanish, English, German
Github Skills (21)
generative10
generative-ai10
deep-learning6
mathematics6
applet6
natural-language-processing5
caffe4
draw4
machine-learning4
java4
computer-vision4
pca2
causal-discovery2
multiplayer2
dimensionality-reduction2
Programming languages (7)
Github contributions (5)
charlio23/HED-pytorch
Feb 2019 - May 2019
Contributions:102 commits, 45 pushes in 2 months
charlio23/bouncing-ball
Nov 2021 - Jul 2022
Contributions:109 commits, 90 pushes, 1 branch in 8 months
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