Image credit: Datanami

Deep Learning in Bioinformatics

In my second year of PhD, I decided to focus on deep learning and bioinformatics. Bioinformatics is a heterogeneous field where traditionally human experts are dominating the research. However, human experience is not always reliable in understanding the complex model. Deep learning seems to be able to capture loads of nuance that eludes human experts and promising to help understand the complex model. Many people still doubt that deep learning is not transparent, just like a black box. However, our human brains are also black boxes, aren’t they? In bioinformatics, I believe the combination of human experts and deep learning will lead to some breakthrough.

Also, deep learning is challenging our existing philosophical values of research, which motivates me to think deeper and fathom out how to advance my recognition and philosophy.

From September 2017 to February 2018 (in my spare time), I finished the five deep learning courses from, concluding the early stage of my knowledge preparation (I am at the end of the beginning!)

Now I am also looking for some exciting bioinformatics topics where I could make most of deep learning. If you happen to have some, you are welcome to contact me to explore the possibility of collaboration.