You shall know the truth and the truth shall make you free.
Probably I was born to study RNA. If you feed the web tool WebLogo  with my names typed in multiple times as enough input data, you could exactly create a RNA motif composing of my name.
Throughout these years my researches mainly focused on RPBome , a term the community uses to describe RNA-binding proteins (RBPs) and their recognition elements within the transcriptome, and Alternative Splicing  which enriches the complexity of transcripts.
It is not surprising that I have been highly dedicated to analyzing RNA-seq, in particular CLIP-seq (also named HITS-CLIP) data. But the surprising part is how I do. Because what I (love to) do is just like reassembling magazine articles after they have been through a paper shredder [4, 5], how can I manage to make it if I did not have talents being artist, although I am a young biologist?
Well, although I am a biologist I do write codes, thus I decode the book of life with both keyboard and pipettes.
R programing language  is my favorite and frequently used. Sexy data analysis! Elegant data visualization! Admittedly Perl and Python are more likely unequally treated as I don't program for money and I'm afraid of snake, I have to say, they are still active in my code repositories.
Save my CV or email me youryanyunAAAAAAA@gmail.com after removing the polyA tail.