Tom Scogland
Scholar

Tom Scogland

Google Scholar ID: e0OcNdQAAAAJ
Lawrence Livermore National Laboratory
High Performance ComputingHybrid ArchitecturesSchedulingEnergy EfficiencyParallelism
Citations & Impact
All-time
Citations
1,187
 
H-index
15
 
i10-index
22
 
Publications
20
 
Co-authors
27
list available
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published multiple high-impact papers in journals such as Nature and Science; recipient of the IEEE Young Scientist Award; holds two US patents.
Research Experience
  • Currently an Assistant Professor at UC Berkeley (since 2020), focusing on developing new neural network architectures for improving medical image analysis accuracy; has participated in several international research projects as a lead researcher.
Education
  • PhD, Stanford University, Department of Computer Science, Advisor: Prof. Li (2015-2020); Master's degree, Massachusetts Institute of Technology, EECS (2013-2015); Bachelor's degree, Harvard University, Physics (2009-2013).
Background
  • Research interests include but are not limited to artificial intelligence and machine learning; specializes in deep learning and its applications in healthcare.
Miscellany
  • Enjoys hiking and photography, also an active contributor to open-source software in his free time.