William Speier
Scholar

William Speier

Google Scholar ID: t_SI2oIAAAAJ
UCLA
Machine learningbrain-computer interfacesmedical image analysis
Citations & Impact
All-time
Citations
3,056
 
H-index
30
 
i10-index
59
 
Publications
20
 
Co-authors
183
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Details about publications, awards, patents, or specific projects are not explicitly provided on the webpage.
Research Experience
  • Currently an Assistant Professor in the Department of Radiological Sciences at UCLA. Involved in multiple projects such as using mHealth to assess heart failure treatment, understanding stroke, and improving prostate cancer diagnosis.
Education
  • Specific details about degrees, schools, or advisors are not explicitly mentioned on the webpage.
Background
  • Research interests include robotics, natural language processing, and machine learning. Aims to bridge the gap between brain and machine applications by learning the underlying processes in the function of the human brain, creating interfacing software to facilitate brain-machine interaction, and developing closed-loop systems to modulate patient treatment based on their physiological state.
Miscellany
  • No information is provided regarding personal interests or hobbies.