4.00/4.00
MSc GPA
Biomedical Sciences, Prince of Songkla University
Biomedical data science
Translating multi-omics data into biomedical insight.
Biomedical data analyst with research experience across proteomics, RNA-seq, whole-exome sequencing, machine learning, and clinical phenotype interpretation.
Evidence profile
Built on bioinformatics research, pharmacy training, and international scientific experience.
May brings research experience in Spain, Taiwan, and Thailand across proteomics, RNA-seq, whole-exome sequencing, and cancer-focused biomedical analysis.
4
Research countries
Spain, Taiwan, Thailand, Myanmar
2
Poster awards
Cancer/proteomics research presentations
1
Peer-reviewed publication
Anticancer Research, 2021
Scientific focus
A profile across omics, statistics, and biomedical interpretation.
Her work connects OLINK and LC-MS/MS proteomics, RNA-seq, whole-exome sequencing, statistical modeling, and wet-lab context to interpret disease mechanisms and candidate biomarkers.
Proteomics: OLINK and LC-MS/MS
Transcriptomics and RNA-seq analysis
Whole-exome sequencing workflows
Machine learning for disease classification
Biomarker discovery and pathway interpretation
Wet-lab and computational result integration
Experience
From regulatory pharmacy to biomedical data science.
Her experience spans clinical proteomic data integration in Spain, cancer transcriptomics at National Taiwan University, pharmacogenomics research in Thailand, and regulatory pharmacy work in Myanmar.
Data Analyst Bioinformatician
Institute for Health Science Research Germans Trias i Pujol · Proteomics, clinical phenotypes, cancer and inflammatory disease
- Integrated OLINK proteomic data with clinical phenotypes to investigate stress-related signaling pathways.
- Developed and validated Random Forest and linear mixed models in R and Python to classify disease states with over 85% accuracy.
- Identified immune and oxidative-stress signatures linked to disease resolution and progression.
- Prepared publication-quality figures and co-authored manuscripts for peer-reviewed journals.
Research Assistant
Department of Internal Medicine, National Taiwan University · RNA sequencing and cancer progression
- Analyzed transcriptomic changes associated with colorectal and breast cancer progression.
- Applied Bioconductor workflows including limma, edgeR, PCA, and heatmaps.
- Collaborated with wet-lab researchers to connect transcriptomic findings with molecular phenotypes.
Research Assistant
Faculty of Medicine, Chiang Mai University · Pharmacogenomics and whole-exome sequencing
- Developed and standardized a pharmacogene panel for osteosarcoma patients.
- Implemented Linux and R pipelines for variant calling and annotation with GATK, BWA, ANNOVAR, and VEP.
- Mapped pathways and annotations for downstream genotyping and clinical PK interpretation.
Regulatory Pharmacist
Food and Drug Administration · Regulatory review, pharmacovigilance, and drug quality control
- Reviewed dossiers and participated in pharmacovigilance activities.
- Performed Minilab quality-control work for MARC projects following WHO guidelines.
Research validation
Publication, awards, and academic recognition.
Her record includes a peer-reviewed Anticancer Research publication, two poster awards connected to cancer proteomics, and a fully funded OHEC Thailand Scholarship for her master degree.
Publication
Peer-reviewed cancer proteomics research
Serum Proteomic Profiling Reveals Differentially Expressed IGHG3 and A1AG1 as Potential Predictors of Chemotherapeutic Response in Advanced Non-small Cell Lung Cancer
Mon MM, Srisomsap C, Chokchaichamnankit D, Watcharatanyatip K, Weeraphan C, Svasti J, et al. Anticancer Research. 2021;41(4):1871.
Peer-reviewed publication listed in her CV.
Full OHEC Thailand Scholarship for Master Degree, covering tuition, stipend, health insurance, relocation, and research expenses.
Best Poster Award at the 6th Current Drug Development conference for serum proteomic profiling in non-small cell lung cancer.
Best Poster Presentation of Academic Research at the 35th Annual Conference, Prince of Songkla University.
Technical capability
Methods that connect data, biology, and clinical meaning.
Her technical toolkit includes Python, R, Linux, Random Forest, linear mixed models, SVM, Bioconductor workflows, GATK, BWA, ANNOVAR, VEP, pathway enrichment, and molecular biology methods.
Computational precision medicine
Statistics and machine learning
Bioinformatics and omics
Translational research
Education
Biomedical sciences and pharmacy foundations.
Her academic path combines an ongoing PhD in Bioinformatics in Spain, a 4.00/4.00 MSc in Biomedical Sciences in Thailand, and a Bachelor of Pharmacy from Myanmar.
Sep 2025 - Present
PhD in Bioinformatics
Universitat Oberta de Catalunya, Spain
Ongoing doctoral research in bioinformatics
2018 - 2020
Master of Science in Biomedical Sciences
Prince of Songkla University, Thailand
GPA: 4.00/4.00
2007 - 2011
Bachelor of Pharmacy
University of Pharmacy, Yangon, Myanmar
Pharmacy foundation for biomedical and regulatory work