Our Team
Our computational lab combines expertise in computational biology, machine learning, and cell biology to push the boundaries of image-based drug discovery, in collaboration with biologists who create samples, images, and other omics data.
Anne E. Carpenter
Principal InvestigatorProfessor, Biological Sciences and Computer Science
Leading the JUMP, OASIS, and VISTA consortia and the Cells to Cures Engine at Purdue University, coordinating large-scale collaborative research efforts across institutions and industry partners to harness image-based profiling for accelerating drug discovery.
Runxi Shen
Co-Principal InvestigatorResearch Assistant Professor, Biological Sciences
Developing computational methods for extracting meaningful features from cell images and multi-omics datasets, and applying them to biological discoveries, spanning representation learning, deep learning, and large-scale morphological profiling.
Shantanu Singh
Senior Group LeaderPrincipal Investigator, Broad Institute
I lead the image-based profiling team at the Broad Institute of MIT and Harvard. We develop machine learning and statistical methods to create fingerprints of genes, chemicals, and diseases from microscopy images of cells.
Alán Fernando Muñoz González
Research ScientistCarpenter-Shen Lab
My interests lie in the interface of computer science, math, image analysis, and biology. I aim to develop tools and workflows to process high throughput imaging datasets, with special interest on applying computational methods on live microscopy data. I am also keen on extracting biological insights from high content microscopy, even when using deep learning tools.
Jonne Rietdijk
Postdoctoral FellowCo-mentored w/ Ewald Lab, EMBL-EBI
My interests span computational biology, toxicology, and pharmacology. I focus on using Cell Painting and multi-omics integration to predict toxicity endpoints and elucidate the molecular mechanisms underlying diverse toxic responses.
Johan Fredin Haslum
Postdoctoral FellowCarpenter-Shen Lab
I am interested in applying and developing machine learning methods for analyzing and representing the rich information captured in high throughput imaging datasets.
Kazumasa Shimofuruta
Visiting ScientistCarpenter-Shen Lab & ONO Pharma
My interest is in identifying drug discovery targets by combining various omics technologies, including imaging, with AI. I am in charge of analysis for the VISTA Consortium, exploring approaches to rare diseases using image analysis.