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About Bioinformaticshome.com - The Team

About - The Team

Martti.jpg Martti T. Tammi
a.k.a Dr. Martti.


I received my Ph.D. in 2002 at Faculty of Medicine Uppsala Universitet and after I did my postdoctoral work at Medical Nobel Institute, Karolinska Institutet in Stockholm. After that, I joined the National University of Singapore leading bioinformatics research at Department of Biological Sciences at Faculty of Science, jointly appointed to Department of Biochemistry, the Faculty of Medicine. Sometimes in parallel, I also taught and led research groups in various other universities. E.g., in Thailand, South Korea, Malaysia, Sweden and in the Philippines. Later, I established a bioinformatics research unit at Sime Darby Plantation Sdn. Bhd. in Malaysia. Today, an entrepreneur with grand ambitions.
Since the 1990s, I have mainly focused on designing algorithms; therefore, the ever rapidly increasing wealth of information, mostly arising from massive amounts of various sequence data, and the prospects of associating these within the healthcare inspire me to contribute to novel solutions to decrease costs and increase precision in healthcare. Back in 2003, the data in the haploid human genome sequence gave many surprises. Since then, various groups around the world have sequenced and are sequencing millions, and there are numerous formidable discoveries yet to come.

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Martti.jpg Dr. Khang Tsung Fei


I am a statistician who enjoys the art of data-driven story-telling. I am currently a senior lecturer at the Institute of Mathematical Sciences in University of Malaya, Malaysia.

Over the years, my interest in biology and medicine has led me to many fruitful collaborations and consultations (and friendship) with biologists and doctors. This is an aspect of my work that I very much enjoy. Working with diverse data types (e.g. sequence, morphological, ecological, clinical data) to produce integrated analyses, I have also come to appreciate the importance of the labour and genius of the data collectors, and that judicious use of statistics is key to a meaningful analysis.

NCBI Bibliography

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