PhD & MSc 'BIF' programs

Our PhD & MSc Bioinformatics & Systems Biology (BIF) programs are now open for application. For more information, please visit our admission page. Learn More

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BIF seminars

Every Thursdays, 10.00 AM – 12.00 PM at Room RD1-B2-16 KMUTT, Bangkhunthian Campus

Jobs & Internships

Internships with us

Undergraduate/Graduate students who are interested in doing internships with us please contact or 02-470-7572 for more information.

- 1st MSc Bioinformatics program in Thailand

- 1st MSc Systems Biology program in Thailand

- 16-year experiences in teaching & learning

- Becoming 'a gap-bridger between computational and life sciences to solve complex biological problems'

  • Develop and apply bioinformatics and systems biology approaches to solve real-world problems.

    Our curriculum focuses on hands-on & project/problem-solving based learning, where students develop and implement solutions to real-world problems. See our Study Plans & List of Courses pages.

  • Work at the interface of computational and life sciences as part of diverse teams.

    Our students are trained comprehensively to work at the interface of computational and life sciences, bridging people from multidisciplines to tackle complex biological problems.

  • Excel research skills to pursue high-impact research.

    Our students are equipped with knowledge and research skills necessary for pursuing high-impact research. See our Research page for a wide variety of research topics to choose from.

  • Be ready to become part of multicultural communities.

    We prepare our students to work cooperatively with people from different disciplines and cultures so they are ready to join multicultural communities. See where our graduates work and study further degrees worldwide.

Research Highlights See all research

Dr. Kamolchanok Claire Chewapreecha

Claire is committed to improving public health in Southeast Asia through her research.

Claire works on the genetic basis of a bacterial pathogen that causes “melioidosis”, a disease which is highly endemic to Southeast Asia and Northern Australia and leads to death in 40% and 20% of those affected, respectively. As no vaccines are currently available, reducing morbidity and mortality caused by melioidosis is a key research question. Claire is using bioinformatics to predict bacterial genetic factors that influence the disease outcomes and severity. Ultimately, a better understanding of the bacterial components could improve our ability to manage this disease.

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Dr. Kanthida Kusonmano

Kanthida is doing research on high-throughput and high-dimensional data analysis to help biologists address their specific biological questions.

Kanthida has applied bioinformatics, machine learning, and statistical analysis to study living organisms in different areas such as medical, agricultural and environmental research. For example, she analyzed expression profiles of endometrial cancer for identification of prognostic biomarkers. Currently, she focuses on metagenomics to the study of the microbiome in different environments, such as, microbiome in wastewater treatment systems, coffee tree, and pig gut.

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Dr. Weerayuth Kittichotirat

Weerayuth’s passion is in understanding how the genome within an organism together with its environment defines its characteristics and phenotypes.

With the availability of new generation of genome sequencing platforms, DNA sequencing has become a common technique for tackling new biological questions. Dr. Weerayuth develops computational pipelines that facilitate the genome sequence data analyses and comparisons. His bioinformatics approaches have facilitated the understanding of the functional contents and evolutionary relationships of various organisms, as well as clinical insights of various diseases.

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Dr. Teeraphan Laomettachit

Teeraphan studies how simple interactions between biological components give rise to complex macroscopic behaviors of the system.

Teeraphan uses mathematical modeling and computer simulation to study how simple interactions between biological components (e.g., molecules, genes, individual organisms) give rise to complex macroscopic behaviors of the system (e.g., cell-decision making, democratic nest-site selecting in bees). His current interests include systems biology of photosynthesis, collective decision-making in microbes, and social behavior of bee colonies.

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PhD & MSc study in Bioinformatics & Systems Biology at KMUTT GO TO ADMISSION PAGE

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