Anne Carpenter, PhD, is an Institute Scientist and Merkin Fellow at the Broad Institute of Harvard and MIT. Her research group develops algorithms and strategies for large-scale experiments involving images. The team’s open-source CellProfiler software is used by thousands of biologists worldwide. Carpenter is a pioneer in image-based profiling, the extraction of rich, unbiased information from images for a number of important applications in drug discovery and functional genomics.
Carpenter focused on high-throughput image analysis during her postdoctoral fellowship at the Whitehead Institute for Biomedical Research and MIT’s CSAIL (Computer Sciences/Artificial Intelligence Laboratory). Her PhD is in cell biology from the University of Illinois, Urbana-Champaign. Carpenter has been named an NSF CAREER awardee, an NIH MIRA awardee, a Massachusetts Academy of Sciences fellow (its youngest at the time), a Genome Technology “Rising Young Investigator”, and is listed in Deep Knowledge Analytics’ top-100 AI Leaders in Drug Discovery and Advanced Healthcare.
Carpenter’s presentation will focus on extracting rich information from microscopy images for drug discovery. Microscopy images contain tremendous information about the state of cells, tissues, and organisms. Her team works with biomedical researchers around the world to extract metrics from cell images, particularly in high-throughput screening experiments testing drugs in disease model systems. As the cell systems and phenotypes of interest become more complex, so are the computational approaches needed to properly extract the information of interest; her lab aims to bridge the gap between biologists’ needs, such as 3D organoid models, and the latest in computational science, such as deep learning algorithms.