Ankur Taly
Scholar

Ankur Taly

Google Scholar ID: EkmqsakAAAAJ
Senior Staff Research Scientist, Google
machine learningnatural language processingsecurityprogramming languages
Citations & Impact
All-time
Citations
12,758
 
H-index
26
 
i10-index
39
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • 2025: Two papers on Retrieval Augmented Generation (RAG) accepted at ICLR 2025
  • 2022: Paper on training data influence for text models published at NeurIPS 2022
  • 2021: Paper on automated exploration of What-If scenarios published at UAI 2021
  • 2020: 'Explanation Game' paper (co-authored with Luke Merrick) received Best Paper Award at CD-MAKE 2020
  • 2018: Paper on debugging question-answering networks published at ACL 2018
  • 2017: Attribution paper published at ICML 2017
  • 2016: Paper on private discovery received Outstanding Paper Award at ESORICS 2016
  • 2018: Study on impact of Integrated Gradients on diabetic retinopathy grading accepted by American Academy of Ophthalmology
  • Delivered multiple tutorials and talks on Explainable AI at top conferences including KDD, FAT*, and ODSC
Research Experience
  • Senior Staff Research Scientist, Google Inc. (2012–2019 and July 2020 onwards)
  • Head of Data Science, Fiddler Labs (2019–2020)
  • Adjunct Lecturer, Stanford University (Fall 2023, Fall 2024)
  • Led research on explaining deep neural networks at Google (2016–2019)
  • Conducted research on distributed authorization at Google (2012–2016), proposed Macaroons
  • Researched JavaScript semantics and sandboxing at Stanford University (2007–2012)