This is my personal website and a place to post hobby projects related to machine learning, bioinformatics, population genetics, and coding. I am constantly learning new methodologies/technologies to better analyze data and my philosophy for self-education has always been the same: experiment, construct pet projects, fail, fix, and repeat! Please check out the pages on this site to learn more about my work and my interests.
Background
I am a bioinformatician / postdoctoral researcher working at the lab of Dr. Sarah Schaack. My research is focused on estimating mutation rates from genomic data of Daphnia magna lines. Our aim is to analyze how mutation rates vary between genotypes/populations and mutation types as well as their genomic effects.
I received my Ph.D. in Evolutionary Genetics at the University of Toronto in 2017, under advisor Dr. Aneil Agrawal. Here, I studied the population genetic/genomic consequences of uniparental reproduction using a combination of biological experiments, mathematical theory, computer simulations, and bioinformatics.
Hobbies
In my spare time, I enjoy reading non-fiction on topics related to astrophysics and quantum mechanics, taking care of my pets (ant colonies, triops, fish, snails) and succulents, and 3D printing useless junk.