Dylan’s Research Page

About Me

I am Dylan and I perform research at the intersection of machine learning and genomics. I received my PhD from Case Western Reserve University advised by Jing Li and Fulai Jin. Beyond research, I am also a world champion jump roper building computer vision applications for sport analysis and competition scoring.

About my Research

I believe that the main frontier of the future of machine learning will be in the natural sciences, and I see biology—specifically genomics—as the most important, interesting, and currently accessible of those fields. Data-driven genomics and machine learning have formed a symbiotic relationship and both fields will continue to advance through interdisciplinary research as we develop new techniques for analyzing and modeling the genome, and as we generate new data that pushes the limits of our current methods.

Currently I work with a lot of Hi-C and single-cell datasets. From this data we can build models of the epigenome and gene regulation, and we can also use these models to predict the effects of perturbations such as genetic variants or chromatin structure changes on gene expression and disease phenotypes. I envision our field developing and iterating upon these various tools (single-cell representation and multimodal integration methods, DNA/RNA/protein language models, spatial single-cell analysis techniques, etc) in tandem with new protocols for generating data, eventually converging on comprehensive models of the dynamic genome which can be queried, perturbed, and simulated in larger biological systems.