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Daphne Ezer
Data-driven experimental design; gene regulatory networks; crowdsourced science
Daphne Ezer is a Turing Research Fellow at The Alan Turing Institute, where she engages in advanced research at the intersection of computer science and biology. She holds a double Bachelor of Science degree in Computer Science and Biology from Duke University, where she was recognized as an Angier B. Duke Scholar. Following her undergraduate studies, she earned a PhD focused on modeling biological systems, further establishing her expertise in computational biology.2
In addition to her role at The Alan Turing Institute, Ezer has contributed to various research initiatives and publications in the fields of genetics and computer science. Her work often involves analyzing complex biological data through computational methods, making significant strides in understanding gene expression patterns and other biological phenomena.2
Ezer is also active on professional networking platforms, where she connects with other researchers and professionals in her field, showcasing her contributions to ongoing scientific discussions and collaborations.1
