Dan has deep experience integrating wet lab data into computational pipelines for the modeling and interpretation of biological phenomena. He completed his PhD in Biological Engineering at the Massachusetts Institute of Technology as a National Science Foundation Graduate Research Fellow, and holds a BA in Molecular & Cell Biology from UC Berkeley. During his graduate work, he developed automated analysis pipelines for a variety of wet lab data sources including: flow cytometry, mass spectrometry, plate reader, next-generation sequencing, and high-content microscopy data.
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