Ákos Nagy Email
Quantum Research Scientist @ Beit.tech (Past)
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Ákos Nagy Location
- Toronto, ON, CA
Ákos Nagy Work
- Quantum Research Scientist @ (October 2023 - September 2026)
- Visiting Assistant Professor @ (July 2020 - June 2023)
- William W. Elliott Assistant Research Professor of Mathematics @ (January 2018 - June 2020)
- Fields Postdoctoral Fellow @ (July 2017 - December 2017)
- Postdoctoral Researcher @ (July 2016 - June 2017)
- Associate Postdoctoral Fellow @ (July 2016 - June 2017)
- Graduate Student @ (August 2011 - June 2016)
Ákos Nagy Education
- Michigan State University
Doctor of Philosophy - PhD (Mathematics)
2011-2016 - Budapest University of Technology and Economics
Master of Science - MS (Mathematics)
2010-2011 - Budapest University of Technology and Economics
Master of Science - MS (Engineering Physics)
2004-2010
Ákos Nagy Skills
- Algorithms
- Analytical Skills
- Communication
- Complexity Theory
- Computer Science
- Conference Presentations
- Creative Problem Solving
- Data Analysis
- Data Science
- Education
- English
- Error Correcting Codes
- Error Correction
- Gate Level Simulation
- Geometry
- Git
- GitHub
- LaTeX
- Linux
- Logic Gates
- Machine Learning
- Mathematical Modeling
- Mathematics
- Pattern Recognition
- Physics
- Presentations
- Problem Solving
- Programming
- Python (Programming Language)
- Qiskit
- Quantum Computing
- Quantum Field Theory
- Quantum Information
- Quantum Mechanics
- Quantum Theory
- Research
- Scientific Papers
- Scikit-Learn
- Statistical Analysis
- TeX
- Teaching
- Technical Writing
- Theoretical Physics
- Topology
Ákos Nagy Summary
- Ákos Nagy, based in Toronto, ON, CA, was previously a Quantum Research Scientist at BEIT. Ákos Nagy brings experience from previous roles at UC Santa Barbara, Duke University, The Fields Institute For Research In Mathematical Sciences and University of Waterloo. Ákos Nagy holds a 2011 - 2016 Doctor of Philosophy - PhD in Mathematics @ Michigan State University. With a robust skill set that includes Algorithms, Analytical Skills, Communication, Complexity Theory, Computer Science and more.
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