Emily Mo-Hellenbrand, M.Sc.: Difference between revisions
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== Short CV == | == Short CV == | ||
* 2005-2007: | * 2005-2007: Bachelor of Engineering in Electrical Engineering - Microelectronics, Stony Brook University (State University of New York), United States | ||
* 2007-2010: Applications Developer, JPMorgan Chase, New York, | * 2007-2010: Applications Developer, JPMorgan Chase, New York, United States | ||
* 2011-2013: | * 2011-2013: Master of Science in Computational Science and Engineering (CSE), Technical University Munich, Germany | ||
* 2014-present : Research associate / PhD candidate, Chair of Scientific Computing, | * 2014-present : Research associate / PhD candidate, Chair of Scientific Computing in Computer Science (SCCS), Technical University Munich, Germany | ||
== Research Interests == | == Research Interests == | ||
Revision as of 22:10, 26 November 2014
- Address:
- Technische Universität München
- Institut für Informatik, Lehrstuhl 5
- Boltzmannstr. 3
- 85748 Garching b. München
Office: MI 02.05.057
Email: 
Phone: (089) 289 18 630
Fax: (089) 289 18 607
Office Hours: by arrangement
Student projects available. Contact for details.
Short CV
- 2005-2007: Bachelor of Engineering in Electrical Engineering - Microelectronics, Stony Brook University (State University of New York), United States
- 2007-2010: Applications Developer, JPMorgan Chase, New York, United States
- 2011-2013: Master of Science in Computational Science and Engineering (CSE), Technical University Munich, Germany
- 2014-present : Research associate / PhD candidate, Chair of Scientific Computing in Computer Science (SCCS), Technical University Munich, Germany
Research Interests
- High performance computing (HPC), invasive computing, hardware-aware programming
- Weather / tsunami simulations
- Fault-tolerant applications
- Inverse problems, Bayesian inference, model reduction
- Sparse grids
Research Projects
- Deutsche Forschungsgemeinschaft (DFG) funded. Collaboration between Universität Erlangen-Nürnberg, Karlsruhe Institute of Technology and Technische Universität München.
Conference Talks
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Teaching
Winter 14/15
- Scientific Computing Lab - WS14
- Hauptseminar Computational Aspects of Machine Learning - WS14
- CSE Seminar Case Studies - WS14
Student Projects
- P. Gómez: Adaptive Construction of Surrogate Models Based on Sparse Grid Interpolants for Bayesian Inverse Problems, IDP. (Active)