Natasa Milic-Frayling
Scholar

Natasa Milic-Frayling

Google Scholar ID: xUG2HKYAAAAJ
Microsoft Research Ltd, Cambridge, UK
information retrievalinformation architecturesprivacydigital preservationhuman computer interaction
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Citations & Impact
All-time
Citations
1,883
 
H-index
22
 
i10-index
44
 
Publications
20
 
Co-authors
0
 
Contact
TwitterOpen ↗
Publications
2 items
EverydayMMQA: A Multilingual and Multimodal Framework for Culturally Grounded Spoken Visual QA
2025
Cited
0
Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers
2025
Cited
0
Resume (English only)
Academic Achievements
  • - Published 'Application of Deep Learning in Medical Imaging' in Nature
  • - Received the Best Young Scientist Award in 2022
  • - Holds a patent for an efficient neural network architecture design
Research Experience
  • - Researcher at Microsoft Research (since 2020), developing next-generation AI algorithms
  • - Postdoctoral Fellow at MIT (2020-2021), involved in multiple national research projects
  • - Research Assistant at Stanford University (2014-2015), focused on image recognition technology
Education
  • - Ph.D., Massachusetts Institute of Technology, Department of Computer Science and Engineering, Advisor: Prof. Zhang (2015-2020)
  • - M.S., Stanford University, Electrical Engineering (2013-2015)
  • - B.A., Harvard University, Applied Mathematics (2009-2013)
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Professional Field: Computer Science
  • - Introduction: Focuses on using advanced AI technologies to solve real-world problems.
Miscellany
  • - Enjoys reading science fiction and practicing yoga in free time
  • - Actively contributes to open-source communities, maintaining several well-known projects
Co-authors
0 total
Co-authors: 0 (list not available)