I study human genomics and how understanding our DNA can help us live healthier and better lives. I am especially fascinated by the evolutionary side of genomics—where humans come from, how populations have changed over time, and how our past shapes who we are today. My research experience includes evolutionary population genetics, medical genetics, and cancer genomics, and I work extensively with AI-based methods to analyze complex genomic data.

Our lab is mainly a computational (dry) lab, where we focus on analyzing different kinds of genomics and proteomics data, such as whole-genome and exome sequencing, RNA-seq, and Olink datasets. Our goal is to connect these data to real biological questions, especially how genetic variation influences human traits and health. We are looking for curious, motivated students who want to work at the intersection of genomics, bioinformatics, and data science. A solid foundation in any of these areas is essential, and experience or interest in AI and machine learning approaches for biological data analysis will be a strong advantage.