Archived Content
This student profile has been archived and is no longer being updated.
This student profile has been archived and is no longer being updated.
I wasn't sure I wanted to go to graduate until the last the last year of college, but it was always an option that I considered. Honestly, it is very hard to pinpoint what made me decide to pursue academia at that point, but I can identify the narrative I have now for why I am in academia: it is the sense that I am helping push the limits of human knowledge for the whole human community, and that I am building a great and diverse skill set that I can use to help solve problems. This what keeps me decided on wanting to pursue academia.
I think three factors had a differentiating effect on this decision:
I think the foremost reason was my supervisor, Dr. Faraz Hach. Faraz was my advisor during my Master's degree at Simon Fraser University and he was the reason I wanted to join the UBC Computer Science PhD program to continue working with him. His work falls exactly at the intersection of computer science and bioinformatics that I love and I highly value his advising to me.
The views. The views are just incomparable.
Building connections with scientists and researchers working on the pressing problems of humanity.
Presenting and teaching skills. These communication skills are so useful for me before they are useful to the people I am communicating to. When I started my graduate program, I relied and leveraged these skills from the get go to make sure I understood people around me and that they understood me. This saved me tremendous time, and effort and helped me form bonds with colleagues and friends.
I enjoy having home brunches with friends!
My research involves designing algorithms and data structures to analyse DNA and RNA sequencing data. This data is very noisy, and therefore, I resort to computational techniques to perform clustering, error-correction, and consensus building in order to reduce data noise and improve the accuracy of downstream scientific analyses especially for understanding cancer development. My research focuses specifically on detecting different RNA isoforms produced by the same gene using RNA sequencing. In this research, I aim to eliminate the reliance on existing databases of known RNA isoforms in order to avoid biasing detection towards known isoforms and to boost our ability to discover novel isoforms.
