Nils Eckstein Email
Head of Research @ kaiko.ai
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Nils Eckstein Location
- Zurich, Switzerland
Nils Eckstein Work
- Head of Research @ (January 2026 - Present)
- Principal Machine Learning Engineer @ (May 2025 - Present)
- Multimodal Lead @ (February 2025 - July 2026)
- Staff Machine Learning Engineer @ (February 2025 - May 2025)
- NLP R and D Lead @ (January 2024 - February 2025)
- Senior Machine Learning Engineer @ (February 2023 - February 2025)
- AI Resident @ (July 2021 - July 2022)
- Doctoral Student @ (September 2016 - May 2021)
- Visiting Researcher in Residence @ (September 2018 - September 2020)
Nils Eckstein Education
- ETH Zürich
Doctor of Philosophy - PhD (Machine Learning)
2016-2021 - ETH Zürich
Master of Science (MSc) (Physics)
2014-2016 - ETH Zürich
Bachelor of Science (BSc) (Physics)
2011-2014
Nils Eckstein Skills
- Mathematics
- Statistics
- Python
- Machine Learning
- Deep Learning
- Data Analysis
- C++
- Algorithms
- Astrophysics
- Theoretical Physics
- Modeling and Simulation
- Molecular Biology
- Matlab
- PowerPoint
- Research
- Customer Service
- Object Tracking
- Git
- Generative Models
- Neuroscience
- Discrete Optimization
- Biomedical Informatics
- TensorFlow
- Large Scale Data Analysis
- Image Segmentation
- Docker Products
- Integer Programming
- Big Data
- Music Production
- Gurobi
- Singularity
- Pytorch
- Theano
Nils Eckstein Summary
- Nils Eckstein, based in Zurich, Switzerland, is currently a Head of Research at kaiko.ai. Nils Eckstein brings experience from previous roles at kaiko.ai. Nils Eckstein holds a 2016 - 2021 Doctor of Philosophy - PhD in Machine Learning @ ETH Zürich. With a robust skill set that includes Mathematics, Statistics, Python, Machine Learning, Deep Learning and more. Nils Eckstein has 1 emails on RocketReach.
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