Austin J. Brockmeier
Scholar

Austin J. Brockmeier

Google Scholar ID: g_QoCQQAAAAJ
University of Delaware
data sciencemachine learningmachine learning for neuroscienceinformation theoretic learning
Citations & Impact
All-time
Citations
624
 
H-index
12
 
i10-index
12
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Research Experience
  • Work Experience: Leader of the Computational Neural Information Engineering Laboratory; Research Projects: Interpretable Divergences, Graph and Signal Processing for Neuroimaging, Reference Prioritisation With PICO, Quantifying Informativeness, Recurrent Waveforms Within EEGs, Metric Learning for Neural Decoding, etc.
Background
  • Research Interests: Data Science, Machine Learning, Signal Processing; Professional Field: Computer Science, Data Science, Engineering (Electrical, Computer, Neural); Brief Introduction: Leads a team of computer scientists, data scientists, and engineers, focusing on extracting actionable information from complex data, especially to understand and interface with the brain.
Miscellany
  • Personal Interests: Not explicitly mentioned