Hi! I’m Rachel, a data-driven research scientist with eight years of comprehensive experience independently conducting, analyzing, and reporting social psychological and behavioural research. I have a passion for providing accurate, meaningful, and impartial insights from data to creatively solve real world problems with experience analyzing complex data using advanced statistical techniques in a variety of programming languages.
As a Ph.D. student at the University of Toronto, I study social-moral psychology under the supervision of Dr. Jennifer Stellar. I received my Master of Arts in Psychology degree at the University of Toronto in November 2018 and my Honours Bachelor of Science degree at the University of Toronto in June 2017. Learn more about my research here!
Following the completion of my degree, I plan to pursue a career in data science. I previously worked as a Data Science and Engineering Intern at HSBC Canada and have been working on numerous hobby projects to help bridge the gap between quantitative academic research and applied data science. Learn more here!
In my personal life, some of my favourite hobbies include: baking, sailing, running, kickboxing, and spending time with my three pets. I am a strong proponent of protecting mental health and believe self-care, taking time to unplug, and having a balance in work and life can do wonders for well-being.