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In his research work, the researcher, who is
with A*Star's I2R, has
to call into use tools that have a strong basis
in Computer Science, such as algorithms and
three dimensional modelling.
In his award-winning work, Dr Tong had developed
algorithms that take into consideration the
genetic variations among people when finding
antigens for creating vaccines.
Three-dimensional models of the interaction
between human-leucocyte-antigen (HLA)-antigen
complexes are created, and then learning
algorithms are applied to find different
variations in immune recognition patterns.
With the patterns, antigens with the best
potential for use in future vaccines can then be
identified.
Commenting on the role that his studies in
Computing has played in his research, Dr Tong
said: “As a child, the beauty and elegance of
computer science has never failed to fascinate
me – it is amazing how a series of 1s and 0s can
do so much in such a tiny box. In 1998, I came
to NUS School of Computing (SoC) full of
passion, and without a clue of what programming
is all about.”
“Picking up a new language is never easy, the
good thing is it sticks to you once you learnt
it, and becomes an art once you mastered it. The
four years at SoC showed me that there was so
much more to the field than I had imagined. It
opened my eyes to the deep and beautiful
foundations on which computer science is built
and how to apply it to the world around us,” he
added.
This year, some 300 people from various parts of
the world were nominated for the TR35 award.
Click
here for news reports on Dr Tong’s
TR35 win. |