Faeze Keshavarz
Why did you decide to pursue a graduate degree?
As a curious person with a high interest in the fields of genetics and genomics, I have always wanted to expand my knowledge in these exciting fields and learn more about the latest cutting-edge technologies and approaches used to decipher molecular phenomena. Additionally, I have been very interested to work in the field of cancer and help find new treatments for patients and bring hope to patients and their families. I have been very lucky to find the opportunity to work towards all these goals in Dr. Steven Jones lab and thus, decided to pursue my PhD at UBC.
Why did you decide to study at UBC?
I strongly believe that UBC provides a lot of resources and opportunities to students. The most valuable resource to me has undoubtedly been the chance to learn from some of the best and most experienced researchers and scientists in my field. The opportunity to collaborate with other scientists and participate in various projects also helps students to expand their horizons and broaden their experiences. Additionally, UBC offers students with various scholarships and awards that facilitate their research.
What is it specifically, that your program offers, that attracted you?
The highly diverse and specialized group of scientists who work at or collaborate with the Jones lab and the chance to work and learn from these people had a huge impact on my decision to join the lab. I have been given the flexibility to explore my path in research and have had the chance to learn and grow as a scientist.
What was the best surprise about UBC or life in Vancouver?
The best surprise for me was the beautiful campus in Vancouver and the spectacular natural scenery.
What aspects of your life or career before now have best prepared you for your UBC graduate program?
I believe my undergraduate program helped me prepare greatly for my UBC graduate program. The diverse set of courses that I took from different departments in addition to my involvement in research helped me develop the required skills.
What advice do you have for new graduate students?
I would like to tell new graduate students to try and have a work-life balance to increase their efficiency and avoid burnout. I also think it is important to know that not all endeavours will yield success, but they should never give up. It is crucial to be persistent, positive, and resilient and to know that defeats help us grow and thrive. I also advise students to get involved in extracurricular activities and fully experience the thrilling graduate student life.
Learn more about Faeze's research
DNA is exposed to various mutagenic endogenous and exogenous factors. These mutations can alter proteins functions and cellular pathways they participate in. In extreme cases, the accumulation of these changes can lead to uncontrolled increase in number of cells, i.e., cancer. Advances in the next-generation sequencing technologies have led to the generation of a large volume of data. The Cancer Genome Atlas (TCGA) study sequenced the genomes and transcriptomes of thousands of primary tumours, and initiatives such as BC Cancer Personalized OncoGenomics (POG) program pursue whole-genome sequencing in metastatic samples. This wealth of omics data has facilitated numerous advancements in our understanding of cancer.
Several machine learning (ML) approaches have been designed to investigate the transcriptome of cancerous cells. These algorithms have been shown to successfully classify cancer types, find informative features in cancer diagnosis, predict drug sensitivity markers, and accomplish many other goals. The predictive power of ML has also been employed to learn about cellular pathway modifications. These experiments highlight an opportunity for ML algorithms to categorize tumours based on pathway activity. Thus, we sought to identify active and targetable cellular pathways in primary and metastatic tumours using pan-cancer whole transcriptome data through the application of ML algorithms.