Andrei Paleyes
Scholar

Andrei Paleyes

Google Scholar ID: kHd55IQAAAAJ
PhD Candidate, University of Cambridge
Machine learningstatistical emulationsoftware
Citations & Impact
All-time
Citations
1,292
 
H-index
11
 
i10-index
13
 
Publications
20
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • - Published multiple papers including 'Causal fault localisation in dataflow systems' and 'Dataflow graphs as complete causal graphs'
  • - Received Andreas Pfitzmann Best Student Paper Award
  • - Developed several open-source software packages such as Emukit, TTI Explorer, GPyOpt, Trieste, Seldon Core, and Tesseract Core
Research Experience
  • - Chief Engineer at Pasteur Labs
  • - Visiting Researcher in the ML@CL group at the University of Cambridge
  • - Worked with Secondmind, Seldon, and DELVE during his thesis
  • - Over a decade of experience as a software engineer, developing everything from small webapps to data center network software
Education
  • Received a PhD in 2024, supervised by Neil Lawrence.
Background
  • Interests lie between machine learning and software systems, leaning towards the latter. Currently a chief engineer at Pasteur Labs, applying ML to engineering design and simulations, and a visiting researcher in the ML@CL group at the University of Cambridge.
Miscellany
  • Support Ukraine 🇺🇦