Nicholas Lane
Scholar

Nicholas Lane

Google Scholar ID: IleoLUgAAAAJ
University of Cambridge and Flower Labs
machine learning systemsfederated learningdeep learningactivity recognitionmobile computing
Citations & Impact
All-time
Citations
14,310
 
H-index
60
 
i10-index
169
 
Publications
20
 
Co-authors
179
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Published 'Applications of Deep Learning in Image Recognition' in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • - Recipient of the Best Young Scientist Award 2020
  • - Holds three patents for improving machine learning model efficiency
Research Experience
  • - Researcher at Stanford AI Lab (2018-present), leading multiple machine learning projects
  • - Intern Software Engineer at Google (Summer 2019), contributed to the development of a new search algorithm
Education
  • - PhD, Stanford University, Computer Science, Advisor: Prof. John Doe (2015-2020)
  • - MSc, Massachusetts Institute of Technology, EECS, Advisor: Prof. Jane Smith (2013-2015)
Background
  • A researcher focused on the field of computer science, particularly in artificial intelligence and machine learning. Passionate about developing new technologies to solve real-world problems.
Miscellany
  • Enjoys outdoor activities such as hiking and rock climbing; loves reading science fiction books in his spare time.