My work as an economist has made me intimately familiar with uncertainty. I use dynamic models and explore the impacts of uncertainty in a variety of settings. I use tools from statistics and decision ...

Mathematical models have become an integral part of cancer biology. They are useful tools for deriving a mechanistic understanding of dynamic processes in cancer. The somatic evolutionary process, ...

DNA binding specificities of transcription factors (TFs) are a key component of gene regulatory processes. Underlying mechanisms that explain the highly specific binding of TFs to their genomic target ...

Bloomberg’s Liquidity Assessment Tool (LQA) pioneers the use of machine learning to estimate liquidity risk as global regulators oblige institutional investors to factor liquidity into risk and ...

Using data from humans and other mammals, a team of scientists at the University of California, Los Angeles (UCLA), and the Santa Fe Institute (SFI), has developed one of the first quantitative models ...