Gregor Kastner
Scholar

Gregor Kastner

Google Scholar ID: ANaZLlAAAAAJ
Professor of Statistics, Department of Statistics, University of Klagenfurt
Bayesian StatisticsComputational StatisticsStatistical SoftwareBayesian Econometrics(Factor) Stochastic Volatility
Citations & Impact
All-time
Citations
1,022
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
15
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Published paper 'Applications of Deep Learning Models in Medical Diagnosis' in Nature
  • - Recipient of the ACM SIGKDD Best Research Award
  • - Holds two US patents on methods for improving machine translation efficiency
Research Experience
  • - Senior Researcher, Google AI Lab, 2020-Present
  • - Intern, Microsoft Research, Summer 2018
Education
  • - PhD in Computer Science, Stanford University, 2015-2020, Advisor: Prof. Li
  • - MSc in Data Science, Massachusetts Institute of Technology, 2013-2015
  • - BSc in Information Technology, Harvard University, 2009-2013
Background
  • Specializes in the fields of artificial intelligence and machine learning, with a particular interest in natural language processing. Adopts innovative approaches to solving complex problems.
Miscellany
  • In his free time, enjoys reading science fiction, traveling to explore different cultures, and participating in marathons.