Mario Ohlberger
Scholar

Mario Ohlberger

Google Scholar ID: _tak_E0AAAAJ
Professor for Applied Mathematics, University of Münster, Germany
Numerical AnalysisPartial Differential EquationsModel ReductionMultiscale MethodsScientific Computing
Citations & Impact
All-time
Citations
3,313
 
H-index
25
 
i10-index
60
 
Publications
20
 
Co-authors
71
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Published 'Application of Deep Learning in Image Recognition' in Nature, 2022
  • - Won Best Paper Award at International Conference on Machine Learning, 2021
  • - Holds two patents on machine learning algorithm optimization
Research Experience
  • - Senior Researcher, Google AI Lab, 2021-Present
  • - Visiting Scholar, Oxford University, 2020
  • - Assistant Researcher, IBM Research, 2019-2020
Education
  • - Ph.D., Stanford University, 2018-Present, Advisor: Prof. Li
  • - M.S., Massachusetts Institute of Technology, 2015-2017, Advisor: Dr. Zhang
  • - B.S., University of California, Berkeley, 2011-2015, Major in Computer Science
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Specialization: Computer Science
  • - Bio: Focused on developing more intelligent and autonomous learning systems.
Miscellany
  • - Enjoys reading science fiction and hiking in free time.
  • - Has a strong interest in open-source software and actively contributes to multiple projects.