BigHat Bio
Lindsey has extensive experience in experimental and computational biology, primarily with integrating a variety of data types to draw biological conclusions. She completed her BS at the Massachusetts Institute of Technology and her PhD at the joint UC Berkeley - UCSF Bioengineering program, receiving fellowships from the Department of Defense, National Institutes of Health, and the Paul and Daisy Soros Fellowship for New Americans. During her graduate work, she developed data analysis methods for flow cytometry, microscopy, plate reader, and next generation sequencing 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.