BigHat Bio
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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BigHat Bio
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BigHat’s mission is to improve human health by making it far easier to design advanced, next-generation antibody therapeutics. Our AI-enabled experimental platform integrates a high-speed characterization or “wet” lab with machine learning technologies to speed the antibody engineering process. When applied, these design capabilities have the potential to drive the development of new generations of safer and more effective treatments for patients suffering from today’s most challenging diseases.