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David Schwartz

Intern

448 followers

Pasadena, California, United States

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Timeline
About me
Visiting Student Researcher at NASA JPL | Master's Student at ETH Zurich
Education
- ETH Zürich
  2019 - 2022
  Bachelor of Science Mechanical Engineering
  Activities and Societies: ETH Entrepreneurclub, Teaching Assistant Relevant coursework in mathematics, applied physics, computer science and controls.Bachelor’s Thesis on "Multi-Task Learning of Orthogonal Functions" in Prof. Melanie Zeilinger's Intelligent Control Systems group.
- Lycée Français Victor Hugo
  2007 - 2019
  AbiBac: dual diploma (German Baccalaureate and French Scientific Baccalaureate)
- ETH Zürich
  2022 - 2024
  Master of Science Mechanical Engineering
  Relevant coursework in (probabilistic) machine learning, sequential decision making, recursive estimation, dynamic programming, optimal control, model predictive control, distributed control and motion planning.Semester Project on "Approximation Techniques for Multi-Agent Coverage Control" in Prof. Andreas Krause's Learning and Adaptive Systems group.
Experience
- EUMETSAT
  Jun 2017 - Jun 2017
  Intern
  Worked in the control room of the geostationary satellite Meteosat-11 (MSG-4) and learned about operations.
- Matthias Meidlinger Group
  Jul 2019 - Aug 2019
  Workshop Intern
  Learned about milling, drilling, turning and grinding with CNC machines, as well as CAD and prototyping.
- ETH Zürich
  Feb 2021 - Jun 2021
  Innovation Project Coach
  Teaching Assistant for the "Innovation Project", a competition for first-year mechanical engineering students: coached teams of students throughout an entire product development process.
- Venti Technologies
  Sept 2023 - Feb 2024
  Planning and Control Engineering Intern
  Internship as part of SGInnovate's Summation Talent Programme. Developed a MPC-based steering controller for autonomous prime movers operating in Singapore’s port.
- NASA Jet Propulsion Laboratory
  May 2024 - now
  Visiting Student Researcher
  VSR in the Maritime and Multi-Agent Autonomy (347N) group. Working on adaptive learning-based planning and control for the autonomous and safe inspection of cislunar stations in the event of drastic online model changes (e. g. thruster failures).
Licenses & Certifications
- Certificate in Advanced English
  Cambridge University Press & Assessment English
  Jan 2019
Volunteer Experience
- Member of the InCube Committee
  Issued by ETH Entrepreneur Club on Dec 2019
  Associated with David Schwartz