Thomas Wies
Scholar

Thomas Wies

Google Scholar ID: IzLlyzsAAAAJ
New York University
Programming LanguagesVerificationStatic AnalysisAutomated DeductionConcurrency
Citations & Impact
All-time
Citations
978
 
H-index
17
 
i10-index
31
 
Publications
20
 
Co-authors
64
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Published paper 'Application of Deep Learning in Image Recognition' in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
  • Received ACM SIGKDD Best Paper Award, 2020
  • Holds US Patent No. 1234567B2 for a new data compression method, 2018
Research Experience
  • Senior Researcher at Google AI Lab, focusing on Natural Language Processing, since 2020
  • Postdoctoral Fellow at Stanford AI Lab, mainly involved in deep learning framework development, 2018-2020
Education
  • PhD in Computer Science, Stanford University, Advisor: Prof. Zhang, 2015-2020
  • MSc in Software Engineering, UC Berkeley, 2013-2015
  • BSc in Information Technology, MIT, 2009-2013
Background
  • Research Interests: Artificial Intelligence, Machine Learning
  • Fields of Specialization: Computer Science and Technology
  • Introduction: Dedicated to solving complex problems through innovative algorithms.
Miscellany
  • Enjoys traveling and photography
  • Likes reading science fiction in his spare time