Awarded in 2015
Home Department: Biomedical Informatics, Medicine
Faculty Advisors: Anshul Kundaje (Genetics, Computer Science), Paul Khavari (Dermatology), Will Greenleaf (Genetics), Howard Chang (Dermatology), and Michael Snyder (Genetics)

Research Title: An integrative machine learning framework applied to epidermal differentiation

Research Description: An important goal of genomics is to understand how genes interact with each other and influence each other’s activity, which leads to a better understanding of human development and disease. Understanding these interactions requires building gene networks, which encode global programs of gene activities. However, many gene networks are built on correlation, not causation. To improve these networks, Daniel is working on an iterative model of computational modeling of gene networks and biological validation; this approach will allow for the discovery of causal relationships and for the creation of more accurate gene networks. He specifically works on these models within skin biology.

WHERE IS HE NOW?

Daniel is a Hematology/Oncology fellow at Memorial Sloan Kettering Cancer Center.