Vít Růžička
Machine Learning Researcher at NASA Jet Propulsion Laboratory
United Kingdom
Summary
👤
Senior🎓
Top SchoolVít Růžička is a machine learning researcher with 11 years of experience applying deep learning to remote sensing and imaging spectroscopy, currently a NASA postdoc at JPL focused on hyperspectral analysis. He completed a DPhil at Oxford and has led applied research projects for UN Environment Programme, ESA Φ-lab, Frontier Development Lab and industry partners on methane detection, wildfire change detection and on-board satellite ML. His background spans top research labs (CMU, ETH Zurich), creative AI teaching, and multi-institutional collaborations, giving him a rare blend of academic rigor and operational deployment experience. Vít pairs technical depth in contrastive learning and semantic segmentation with practical sensor knowledge, and outside research he pursues arts, literature and analog photography—informing a distinctive interdisciplinary perspective.
11 years of coding experience
4 years of employment as a software developer
study abroad during Master's degree Computer Science, study abroad during Master's degree Computer Science at Hosei UniversityDPhil at the Computer Sciences Department Machine Learning, DPhil at the Computer Sciences Department Machine Learning at University of OxfordIndian Institute of Technology Madrasstudy abroad during Master's degree Computer Science, study abroad during Master's degree Computer Science at Union CollegeMaster's Degree Computer Graphics and Computer Sciences, Master's Degree Computer Graphics and Computer Sciences at Faculty of Electrical Engineering, Czech Technical University in Prague
English, Czech, Spanish
Github Skills (22)
reconnection10
generative9
emit9
hci9
interaction9
deepfake7
gcloud6
generative-adversarial-network6
heroku5
pipeline5
deep-learning5
machine-learning4
python4
nlp4
api3
Programming languages (3)
Github contributions (5)
previtus/ChangeDetectionProject
Jun 2020 - Apr 2021
Contributions:10 commits, 47 pushes, 1 branch in 9 months
previtus/GAN_explorer
Oct 2019 - Jan 2023
Real-time interaction with deep generative models. Allows for a novel Convolutional Layer Reconnection technique on pretrained or your own custom models.
Contributions:112 commits, 91 pushes, 1 branch in 3 years 3 months
real-timeinteractiondeepfakedeep-learningconvolutional
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