Michael Dorkenwald
Student Researcher at Google DeepMind
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolMichael Dorkenwald is a PhD candidate in Amsterdam and a Student Researcher at Google DeepMind in Paris, bringing eight years of research and engineering experience at the intersection of physics and machine learning. His background spans academic and industry labs — from Heidelberg and Monash exchange work to research internships at AWS and visiting work in Canada — with a focus on scalable ML research and computer vision under advisors at ELLIS and UvA. He blends strong theoretical training in physics with practical ML systems experience, contributing to projects that bridge fundamental research and applied AI. Colleagues describe him as someone who moves fluidly between rigorous experimentation and production-aware thinking, often surfacing insights from cross-disciplinary methods.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Physics, Master of Science - MS, Physics at Heidelberg UniversityDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of AmsterdamExchange Semester, Information Technology, Exchange Semester, Information Technology at Monash University
Github Skills (13)
stochastic10
synthesis9
pytorch8
deep-learning7
representation-learning6
localization6
generative-adversarial-network5
kinetics4
self-supervised-learning4
modeling3
multihead-attention2
video-language2
computer-vision2
Programming languages (1)
Github contributions (5)
mdorkenw/mdork.github.io
May 2021 - Jul 2024
Contributions:48 pushes, 1 branch in 3 years 3 months
CompVis/image2video-synthesis-using-cINNs
Mar 2021 - Jul 2021
Implementation of Stochastic Image-to-Video Synthesis using cINNs.
Contributions:19 commits, 14 pushes, 2 branches in 3 months
pytorchdeep-learningsynthesisstochasticvideo
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