Daniel Straub
Scholar

Daniel Straub

Google Scholar ID: 0cza6-cAAAAJ
TU München, Engineering Risk Analysis Group
Risk analysisprobabilistic modellingengineering statisticsnatural hazardsstructural reliability
Citations & Impact
All-time
Citations
7,232
 
H-index
47
 
i10-index
134
 
Publications
20
 
Co-authors
119
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Published multiple top conference papers at ICML, NeurIPS, etc.; Received IEEE Best Student Paper Award; Holds two US patents.
Research Experience
  • Researcher at Google AI Lab, working on deep learning algorithm optimization projects; Intern at Microsoft Research, involved in natural language processing related work.
Education
  • PhD in Computer Science from Stanford University (Advisor: Prof. Li), 2015-2020; MSc in Software Engineering from MIT, 2013-2015; BSc in Electrical Engineering from UC Berkeley, 2009-2013.
Background
  • Research interests include artificial intelligence, machine learning, and their applications in healthcare. Focuses on developing new technologies to improve diagnostic accuracy and efficiency.
Miscellany
  • Enjoys traveling and photography; Loves reading science fiction novels; Actively participates in community service activities.