Although, I have been studying only one major (computer science), my work has covered intellectually wide-ranging areas. At the undergraduate level, I focused on computer networks. I did an internship for six months at Cisco Systems Inc., and I achieved CCNA and CCNP certification. However, when I was introduced to artificial intelligence (AI), I realized it is a domain specified by certain principles and rules and yet there was a huge space for creativity.
So I decided to pursue further studies in AI. At Master's level, I joined the Computational Bioscience Research Center. I was in charge of a text mining project to extract associations between methylated genes and diseases automatically from scientific literature. Interestingly, to solve this problem, we implemented a novel application of position weight matrices, which is a tool commonly used in bioinformatics.
As a PhD student, my aspiration has expanded. I wanted to investigate another research area to which my skills are transferable. I chose cheminformatics. Recently, I've been working on developing machine learning models to predict chemical toxicity. Additionally, I'm very interested in high performance computing.