Dr. Dana Wong

Assistant Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Dana Wong. Improve your application with a focused, well-structured draft.

Biography

Dana Wong is an Adjunct Senior Lecturer at Monash University and a Clinical Neuropsychologist. She specializes in supervising postgraduate psychology students and is involved in clinical activities. Her research interests focus on neuropsychological interventions, assessment of cognitive and emotional difficulties, traumatic brain injury (TBI), and stroke rehabilitation. Dana's work emphasizes using cognitive behavioral therapy (CBT) and motivational interviewing to treat depression and anxiety post-acquired brain injury (ABI). She also explores innovative delivery methods such as telehealth and smartphone technology for cognitive rehabilitation. Wong has authored several key publications and received numerous accolades for her contributions to education and clinical practice in psychology. She has held external positions, including a Senior Lecturer at La Trobe University, and collaborates with various institutions on projects related to memory rehabilitation and evidence-based neuropsychological interventions.

Research Interests

Experience

Adjunct Senior Lecturer

2018-02-12 — Present

Monash University • Australia

Awards

#

ASSBI Clinical Innovation Award

2016-01-01
#

Dean's Award Excellence Education (Innovation Teaching)

2017-01-01
#

Vice-Chancellor's Award Teaching Excellence

2017-11-01

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.