Thomas Parnell
Scholar

Thomas Parnell

Google Scholar ID: h10yh7sAAAAJ
Principal Research Scientist, IBM Research
Machine Learning and Systems
Citations & Impact
All-time
Citations
2,251
 
H-index
20
 
i10-index
47
 
Publications
20
 
Co-authors
15
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Published multiple papers such as 'vllm-triton-backend: How to get state-of-the-art performance on NVIDIA and AMD with just triton' and holds several patents like 'Training Decision Tree-based Predictive Models'.
Research Experience
  • Joined Arithmatica, Warwick, U.K., in 2005, where he was involved in FPGA design and electronic design automation; co-founded Siglead Europe in 2007, developing signal processing and error-correction algorithms for HDD, flash, and emerging storage technologies; joined IBM Research in Zürich, Switzerland, in 2013, actively involved in research and development of machine learning, compression, and error-correction algorithms for IBM’s storage and AI products.
Education
  • Received B.Sc. in Mathematics from the University of Warwick, U.K., in 2006; Ph.D. in Mathematics from the University of Warwick, U.K., in 2011.
Background
  • Research interests include signal processing, information theory, machine learning, and recommender systems. Works at IBM Research, focusing on the development of machine learning, compression, and error-correction algorithms.