Mirko Nava
Postdoctoral Researcher at IDSIA USI-SUPSI
Lugano Metropolitan Area Switzerland
Summary
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Senior🎓
Top SchoolMirko Nava is a postdoctoral researcher at IDSIA with nine years of experience developing self-supervised deep learning methods for robotic spatial perception. He holds a PhD in Deep Learning applied to Robotics and has published multiple journal and conference articles on enabling robots to learn from images, sounds, and range sensors without human labels. Mirko combines hands-on systems work—such as building a NeRF-based object localization pipeline during an internship at Magic Leap—with leadership in applied projects and supervision of MSc/PhD students. He partners with industry to translate research into real-world robotics solutions and helps secure grants and disseminate results to both academic and public audiences. Colleagues cite his strong communication skills and ability to turn creative ideas into reproducible experiments and deployed prototypes.
9 years of coding experience
High School Diploma, High School Diploma at ITI Pino HensembergerDouble master's degree, Double master's degree at Università degli Studi di Milano-BicoccaDoctor of Philosophy (PhD), Doctor of Philosophy (PhD) at USI Università della Svizzera italiana
English, Italian
Github Skills (15)
python9
gpu9
machine-learning9
deep-learning9
neural-network8
numpy8
gpu-acceleration7
tensorflow7
acceleration7
stem6
tensor6
autograd6
robotics5
skeleton1
ros1
Programming languages (2)
Github contributions (5)
Mirko-Nava/BayesianNeuralNetworks
Oct 2019 - Dec 2020
Contributions:58 commits, 41 pushes in 1 year 2 months
Mirko-Nava/Learning-Long-range-Perception
Sep 2018 - Oct 2018
Contributions:33 commits, 31 pushes, 1 branch in 1 month
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