A central task of genomics is to understand how genome function is encoded by DNA sequence and expressed by the cellular machinery in specific spatio-temporal patterns. With that foundational knowledge, we can discover how human genetic variation alters genomic function and impacts development and disease. We develop massively parallel functional assays and pair them together with biophysical, machine learning, and AI models that attempt to capture how arrangements of transcription factor binding sites define the function of regulatory DNA. We are also using generative AI to engineer synthetic regulatory DNA to drive cell type-specific expression in vivo.

• Lab Website

I co-teach BBS 5075, Introduction to Coding and Statistical Thinking in Genetics & Genomics. I co-developed this course to help new PhD students gain a foundation in essential quantitative skills necessary to analyze and reason about large datasets. The course introduces Python and R for data analysis.