Dr. Chad Williams

Instructor

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Biography

Chad Williams is an Assistant Teaching Professor in the Department of Psychology at the University of Victoria. His teaching philosophy emphasizes student autonomy, flexibility, and respect, designing courses that encourage students to engage with material and take responsibility for their learning. He leads undergraduate courses in neuroscience and statistics, creating online resources such as 'Practical Statistics R,' which has garnered significant attention with 80,000 views. His classrooms focus on mental health, adaptability, and the provision of active feedback, ensuring that students feel supported and respected. Williams aims to equip students with subject knowledge and transferable skills, such as time management and independent learning, that prepare them for success in academia and the workforce. His research program enhances methodological practices in neuroscience by integrating artificial intelligence. He develops tools and approaches to advance data analysis, validating EEG datasets through augmentation and generative modeling. His work demonstrates the utility of symbolic regression in recovering computational models of cognition and creating equation distributions to strengthen benchmark generators. Additionally, Williams collaborates with industry partners on projects involving neurofeedback, biometric integration, and brain-computer interfaces, gaining extensive experience with EEG biometric technologies across various programming environments.

Research Interests

Requirements for University of Victoria

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
GRE General
Verbal
Required:130
Quantitative
Required:130
Analytical Writing
Required:0
Overall
Required:0
Prerequisites
BSc in Computer Science, Software Engineering or equivalent Background in Mathematics with emphasis on Computer Science
Application Checklist
  • Statement of Intent
  • Professional CV
  • Two assessment reports
  • Unofficial transcripts
Specialization Notes

Department: Department of Computer Science. GRE is highly recommended for international students.