The mission of the Mallick Research Lab at Weill Cornell Medicine is to develop computational methods, software, and data products to generate and validate testable hypotheses that accelerate data-driven discovery.
In recent years, our work has involved several major areas: (a) discovery of clinically actionable biomarkers from integrated multi-omics profiles to enable better disease outcome prediction and patient stratification; (b) analysis of health information related to the human microbiome, as well as molecular measurements of microbial communities in epidemiological human populations and from the environment; (c) statistical methods for multimodal single-cell RNA sequencing, spatial omics, and long-read sequencing; (d) design, implementation, and analysis of biomarker-based randomized controlled trials and molecular epidemiology studies; (e) digital pathology and computational image analysis; and (f) multimodal AI, causal machine learning, and foundation models for systems biology, including uncertainty-aware machine learning for AI agents.
The Mallick Lab is broadly engaged in methods development and in multiple collaborative studies of the roles of vastly different kinds of biological data in health and disease, with a focus on computational methods for uncertainty quantification and their implications for biomarker discovery, target identification, and mechanistic insight. Along with the Jill Roberts Center for Inflammatory Bowel Disease, the Division of Gastroenterology and Hepatology, the Feil Family Brain and Mind Research Institute, and the Meyer Cancer Center at WCM, the Mallick Lab actively collaborates with the University of Florida, Arizona State University, George Washington University, Merck Research Laboratories, and Duke University.
The Lab Team
The Mallick Lab embraces a diverse set of talents and fosters an interdisciplinary approach in its attempts to reverse-translate fundamental scientific discoveries from bedside to bench and back.