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Welcome to the personal website of Dr. Adrianto Wirawan
Adrianto Wirawan
SUMMARY
Proven scientist cum engineer with more than 12 years experience in the development of bioinformatics algorithms, tools and pipelines as well as analysis of Next Generation Sequencing (NGS) data. Most recently, played a key leadership role in developing HLI Knowledgebase, a platform for storage, retrieval and analysis of NGS and high quality clinical data which is the 2016 Bio-IT Best Practices Award.

Holds a Ph.D. degree in Computer Engineering from Nanyang Technological University, Singapore in 2010 with a Ph.D. thesis titled "Heterogeneous Multi-Core Systems for Bioinformatics". 

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EXTENDED SUMMARY
My background includes the development of bioinformatics algorithms, tools and pipelines as well as analysis of Next Generation Sequencing (NGS) data. Most recently, I played a key leadership role in developing HLI Knowledgebase, a platform for storage, retrieval and analysis of NGS and high quality clinical data which won the 2016 Bio-IT Best Practices Award. In addition, I carried out association analyses with genomic (30K+ whole genome sequences, 600M+ variants), microbiomic, metabolomic, and phenotypic information and played a key role in as a communication bridge translating bioinformatics analyses into production ready software. 

I completed my Ph.D. in Computer Engineering at Nanyang Technological University, Singapore under the supervision of Prof. Dr. Kwoh Chee Keong in 2010. My Ph.D. thesis is titled “Heterogeneous Multi-Core for Bioinformatics”, in which I investigate algorithms and techniques on how to efficiently map bioinformatics applications onto a heterogeneous multi-core system, the IBM Cell Broadband Engine. In particular, I looked at DNA and protein sequence alignment algorithms, such as Smith-Waterman and BLAST. 

My previous working experiences include Wissenschaftlicher Mitarbeiter - Post Doctoral Research Fellow at Institute für InformatikJohannes Gutenberg University of Mainz, Germany, where I worked on high performance computing on bioinformatics where I developed CUDASW++ v3.0, one of the most popular sequence alignment tool on CUDA. Since 2012, Johannes Gutenberg University of Mainz is part of the highly acclaimed CUDA Research Center and CUDA Teaching Center.

Before Germany, I previously worked as a Research Fellow in the Yong Loo Lin School of MedicineNational University of Singapore working on determining the genetic mutations and phenotypic changes associated with the development of in vitro and in vivo polymyxin resistance in paired clinical Acinetobacter baumannii isolates. My previous projects also include working on genomic analysis and development of a new multilocus variable-number tandem-repeat analysis scheme for molecular epidemiological typing of Acinetobacter baumannii.

As shown in my curriculum vitae, I have also published multiple publications on other bioinformatics and computational biology topics, such as error corrector for the 454 sequencing, tandem repeat finder and feature selection algorithm for computer-aided angle closure glaucoma mechanism detection using machine learning. 

As a lot of my research projects are interdisciplinary in nature, I have a lot of experience in working with international collaborators from various disciplines. For example, I collaborated with remote teams in San Diego in several key projects in HLI. In addition, when I was the project leader for the development of a variable tandem repeat finder and visualization tool for National University of Singapore and Singapore General Hospital, I worked in partnership with medical doctors and biologists.

My research interests include bioinformatics, computational biology, high-performance computing, algorithm development, as well as parallel algorithms and architectures.