Programs at LSI The Lewis-Sigler Institute at Princeton University was established with a mandate to create innovative research and teaching programs at the interface of modern biology and the more quantitative sciences. The Institute, housed in the Viñoly-designed Icahn Laboratory, has a diverse, interdisciplinary intellectual environment with a wide range of educational and research opportunities. Graduate Program in Biophysics Graduate Program in Quantitative and Computational Biology NIH NHGRI Training Program Undergraduate Certificate in Quantitative and Computational Biology Integrated Science Curriculum World Class Faculty The institute comprises a multidisciplinary group of scientists and students working at the interface of biology and the more quantitative sciences and computation. This is meant to include, among others, the fields of genomics, biophysics, computational neurobiology, systems biology, population biology and quantitative genetics, molecular evolution, computational biology, and microbial interactions. Faculty Profiles Research Areas Biophysics: Theory and ExperimentPerforming quantitative experimentation and developing sophisticated theoretical analyses to… Computational GenomicsDeveloping novel computational methods for analyzing genomes. Evolutionary and Population GenomicsDetermining how genetic variation leads to evolutionary change and the frequency and… Experimental GenomicsDeveloping novel experimental methods and approaches that allow large-scale analysis of genes,… Statistical GenomicsDiscovering genetic connections between complex traits and large-scale genomics data through… Systems Biology: Development/AgingApplying modern experimental, computational, and mathematical methods to develop models and… Systems Biology: Metabolomics/ProteomicsDeveloping and applying cutting-edge metabolomics and proteomics methods to better understand… News Graduate student Theo Gibbs named a 2025 Schmidt Science Fellow Research Student Award Princeton joins new cancer research hub established with gift from Weill Family Foundation Research Princeton Precision Health: An interdisciplinary, AI-driven approach to tackling big questions about health and disease Research View All News Events Apr 21 Ahmed Shuaibi FPO Methods for Identifying Dependencies Between Driver Mutations in Cancer Location 302 Computer Science Building Final Public Oral Apr 21 QCB Seminar with Pieter Dorrestein, UC San Diego Solving the Molecular Puzzle of Life: Data Science Unlocks Detectable but Hidden Chemistry in the Human Body Location Carl Icahn Lab 101 QCB Seminar Series View All Events
