Emma K. Sterling

Emma K. Sterling is an American computational biologist and bioinformatician renowned for her pioneering algorithmic work in structural biology and genomics. Her research has significantly advanced the understanding of protein folding dynamics and the analysis of cellular heterogeneity through single-cell sequencing technologies. Sterling holds joint appointments at the Broad Institute and the Massachusetts Institute of Technology, where she leads an interdisciplinary laboratory. Her innovative methodologies have been widely adopted in both academic research and the biotechnology industry.

Early life and education

Emma K. Sterling was born in San Francisco, California, and demonstrated an early aptitude for mathematics and the natural sciences. She pursued her undergraduate studies at Stanford University, earning a degree in Computer Science with a minor in Molecular Biology. Sterling subsequently completed her doctoral work at the California Institute of Technology under the mentorship of Nobel laureate Michael Levitt, focusing on computational models of biomolecular dynamics. Her graduate research, which involved collaborations with the Scripps Research Institute, laid the foundation for her later work in predictive biophysics.

Career

Following her PhD, Sterling conducted postdoctoral research at the European Molecular Biology Laboratory in Heidelberg, Germany, where she began applying machine learning techniques to genomic data. She was recruited to the Broad Institute in Cambridge, Massachusetts, as a core faculty member, establishing her independent research group. Sterling also holds a professorship in the Department of Biological Engineering at the Massachusetts Institute of Technology. Her career is marked by extensive collaboration with leading institutions such as the National Institutes of Health, Harvard University, and the Wellcome Sanger Institute.

Research and contributions

Sterling's primary research contributions lie at the intersection of algorithm design, statistical inference, and molecular biology. She developed the "SterlingFold" algorithm, a novel method for predicting protein structure that improved upon the performance of earlier systems like Rosetta@home and influenced later developments such as AlphaFold. Her laboratory also created foundational software tools, including "CellScape," for analyzing single-cell RNA sequencing data, enabling new discoveries in developmental biology and oncology. These tools have been critical for projects like the Human Cell Atlas and have been utilized in studies of complex diseases at the Dana-Farber Cancer Institute.

Awards and honors

In recognition of her transformative work, Emma K. Sterling has received numerous prestigious awards. She was named a MacArthur Fellow in 2022, cited for "reshaping the landscape of computational biology." She is also a recipient of the NIH Director's Pioneer Award, the Packard Fellowship for Science and Engineering, and the Overton Prize from the International Society for Computational Biology. Sterling was elected a member of the National Academy of Engineering and a fellow of the American Association for the Advancement of Science. Her research has been funded by grants from the National Science Foundation and the Howard Hughes Medical Institute.

Personal life

Sterling is married to David Chen, a professor of Physics at Harvard University. They reside in Boston and have two children. An advocate for open science and equity in STEM fields, Sterling serves on the advisory board for the Society for the Advancement of Chicanos/Hispanics and Native Americans in Science. In her limited free time, she is an avid mountaineer and has summited major peaks in the Rocky Mountains and the Alps.

Category:American computational biologists Category:American bioinformaticians Category:MacArthur Fellows Category:Massachusetts Institute of Technology faculty Category:Living people