Home Page of Brad Gulko
PhD Student – Cornell University
Computer Science – Biological Statistics and Computational Biology
This is an early draft web page. My apologies for the rough edges.
As of Dec-2011, I’m a 5’th year PhD student in Computer Science at Cornell University. My primary area of research is in the applications of machine learning to inferring the regulatory properties of non-coding human DNA, by blending evolutionary & population genetics with structural data such a histone modification. My advisor is Adam Siepel.
I have active interests in: Machine Learning (particularly Semi-supervised Learning), Causal Inference, Latent Variable Discovery in Bayesian Networks and Decision Theory. I also have a 20+ year work history in software development, technology consulting and forensic technology assessment.
My current project can be reached here, for those in my lab.
Secondary areas of research include:
· Decision theory and preference relations based on relative utility.
· Causality & Causal Inference.
Last Updated 30-Dec-2011