My lab is interested in engineering machine learning tools and micro systems to address questions in systems neuroscience, developmental biology, and cell biology that are difficult to answer with conventional techniques.
Microfluidics provide the appropriate length scale for investigating molecules, cells, and small organisms; moreover, one can also take advantage of unique phenomena associated with small-scale flow and field effects, as well as unprecedented parallelization and automation to gather quantitative and large-scale data about complex biological systems. In parallel, ML technologies have now vastly expanded the capabilities for scientific inquiry, both in data processing and data interpretation.
Learn more about our current projects:
Microfluidics for the Life Sciences
Optical Neuron Recordings and Manipulations
Machine Learning Tools for Neuroscience
Measuring and Modeling Behavior
High-throughput, High-content, Cell-based Assays