Biological Networks and Machine Learning
Image Credit: Dr. Ernest Fraenkel
Research in this area seeks to discover and model the molecular interactions and regulatory networks that underlie phenotypes at the cellular and organismal level, often involving the use of advanced machine learning approaches. Also includes studies of cellular interaction networks (e.g., in the nervous system).
Tamara Broderick
Biological engineer Paul Blainey creates new tools to advance biomedical research
His technology platforms have benefited genomics, diagnostics and drug screening.
Microfluidics — the science of manipulating tiny amounts of fluid through channels — has been widely used in fields such as genomics, where it has helped to enable high-speed sequencing. Several years ago, Paul Blainey started to wonder why microfluidics was not used for drug screening, another application that requires analyzing huge amounts of samples quickly.
Patrick Aoude
Christopher Rodriguez
Mirae Parker
Ifrah Tariq
Matthew Leventhal
Mapping the brain at high resolution
New 3-D imaging technique can reveal, much more quickly than other methods, how neurons connect throughout the brain.
Gut-brain connection signals worms to alter behavior while eating
Study may lead to a better understanding of the digestive tract’s nervous system.
When a hungry worm encounters a rich food source, it immediately slows down so it can devour the feast. Once the worm is full, or the food runs out, it will begin roaming again.