Dr. Christina Yap

Associate Professor

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Biography

Christina Yap is an Associate Professor in Biomedical Sciences at Monash University Malaysia. She completed her PhD in 2012, focusing on early predictors of diabetic nephropathy. Her post-doctoral research developed targeted proteomic approaches to quantify CYP2E1 in human blood samples, which hold potential clinical applications. Dr. Yap's primary research interests include the development of early biomarkers for diabetic nephropathy, pharmacokinetics, and the understanding of drug-metabolizing enzymes in metabolic syndromes. She utilizes advanced techniques such as High-Performance Liquid Chromatography (HPLC) and Genomics in her research. Besides her research endeavors, Dr. Yap is also involved in medical education, teaching topics such as Physiology, Pharmacology, and Histology to MD and Bachelor of Pharmacy students. Her contributions to education and research have been recognized with several awards, including presentation awards at international conferences.

Research Interests

Experience

Associate Professor

2017-01-01 — Present

Monash University Malaysia • Kuala Lumpur, Malaysia

Teaching Problem Based Learning and various subjects in the MD and Bachelor of Pharmacy programs.

Coordinator

2017-01-01 — Present

Physiology, MBBS course, JCSMHS, MUM • Kuala Lumpur, Malaysia

Overseeing Physiology curriculum for medical students.

Awards

#

Mention Award

2009-12-14
#

Presentation Award

2014-11-05
#

1st Prize

2017-01-01
#

Runner-up

2017-01-01

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.