GIS EARLY CAREER AWARDS 2021
Award winners with Prof Patrick Tan at GIS Early Career Awards 2021
CONGRATULATIONS 2021 WINNERS!
On behalf of the GIS Staff and Management, we would like to extend our heartfelt felicitations
to the winners of the GIS Early Career Award. On 30 August 2022, GIS’ Executive Director, Prof
Patrick Tan, proudly presented the awards to the winners at the ceremony. We are honoured
to continue working side-by-side with these outstanding colleagues, and look forward to what
they will accomplish in the years to come.
The GIS Early Career Award recognises and celebrates both research and corporate staff for
their exceptional contributions to the institute in their respective areas.
Scientific Excellence Award winner
This award recognises excellence in a candidate's research as gauged by their scientific findings
and impact. Their work is expected to have revealed novel insights or approaches to a
scientific question.
Dr Ignasius Joanito Irwan
Research Associate
Laboratory of Systems Biology and Data Analytics
Research Excellence Award winner
This award recognises excellence in a candidate's research as gauged by their scientific findings
and impact. Their work is expected to have revealed novel insights or approaches to a
scientific question.
Dr Chen Liwei
Research Officer
Laboratory of Synthetic Biology and Genome Editing Therapeutics
Administrative Excellence Award winners
This award recognises corporate service staff who undertake a significant amount of
administrative responsibilities and have made an impact on the efficiency and productivity.
Ms Madelene Lim May Lin
Systems Engineer
Office of Research IT
Ms Ong Yan Ting
Officer
Office of Academic Affairs
Partnership Excellence Award winner
This award recognises candidates whose work have led to a significant engagement with
industry partners, clinical communities, or public agencies.
Dr Wong Pui Man
Senior Research Fellow
Laboratory of Applied Cancer Genomics
GIS Super Team Award
The GIS Super Team Award recognises the group of individuals who show outstanding
performance and achievement as a collaborative and integrated team. Multi-disciplinary
teams are particularly encouraged.
Edison Liu Award for Outstanding Women in Science winner
This award recognises female scientists who have made major achievements in their research
as well as who have supported girls and young women to pursue STEM careers.
Congratulatory message from Dr Edison Liu, Professor, President Emeritus and Honorary
Fellow of the Jackson Laboratory:
Innovative Idea in Genomics Research Competition Award winners
As part of the institutional effort to cultivate an innovative culture and foster the next breakthrough in genomics technology and its application among our early career researchers, GIS is pleased to present the awards for our inaugural Innovative Idea in Genomics Research Competition.
This competition aims to provide an opportunity for our young scientists to stretch their imagination, push boundaries and share their innovative ideas that can potentially drive the next breakthrough in genomics research. It recognisesnovel research ideas that have never been explored, have the potential to become bigger, better and bolder accomplishments at GIS in the near future, and will help bring about invigorating conversations and collaborations among our colleagues.
1st place:
Dr Li Zhe(Senior Research Fellow, Laboratory of Molecular Epigenomics and Chromatin Organization) and
Dr Friganovic Kresimir(Post Doctoral Fellow, Laboratory of AI in Genomics)
“Swift Detection of Bacterial Genome in Metagenomics by DNA Modifications Recognized with Nanopore Adaptive Sequencing”
2nd place:
Mr Kock Kian Hong (Research Officer, Genome Research Informatics and Data Science Platform)
“Scalable approaches for interpreting GWAS variants: identifying differential binding by transcription factors and chromatin complexes”
3rd place:
Dr Gokce Oguz (Research Associate, Laboratory of Computational Genomics)
“Direct quantification of gene isoforms in single cells”
Mr Egor Revkov(Post Doctoral Fellow, Laboratory of Computational Cancer Genomics)
“Novel cost-effective cancer diagnostics and monitoring tools can be designed through extensive studying of human oral microbiota”
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