What can we learn from large, highly complex biological datasets? Researchers who use informatics, omics, and multidimensional analysis use mathematical, computational, and statistical tools to identify novel relationships between variables in these large datasets, revealing complex and often nuanced biological phenomena.
Bioinformatics
Featured Research
EZbakR: tools to facilitate studies of gene expression dynamics and regulation
Isaac Vock ‘25
he/him
Molecular Biophysics and Biochemistry (Simon Lab)
Spatial multi-omic analysis of human lymphoid tissues
Archie Enninful ‘26
he/him
Biomedical Engineering (Fan Lab)
Faculty
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Marcus Bosenberg
Professor; Dermatology, Pathology, and ImmunobiologyResearch Interests: Melanoma biology; soft tissue tumors -
Martina Dal Bello
Assistant Professor; Ecology and Evolutionary BiologyResearch Interests: research in the Dal Bello lab focuses on how microbes respond to and modify their environment, and how these feedback processes shape species interactions, assembly processes, and the function of microbial communities. -
Purushottam Dixit
Assistant Professor; Biomedical EngineeringResearch Interests: Build machine learning methds that are rooted in statistical physics to analyze high quality high dimensional “omics” data from biological systems -
Rong Fan
Professor; Biomedical EngineeringResearch Interests: Combining single-cell analysis technology and systems biology to study cell-cell communication and cellular heterogeneity in human cancers and the immune system -
Mark Gerstein
Professor: Biomedical Informatics, Molecular Biophysics & Biochemistry, Computer Science, and Statistics & Data ScienceResearch Interests: Bioinformatics; biological database design, genomics; human genome annotation; gene expression analysis; data mining; macromolecular structure and function -
Scott Holley
Professor; Molecular, Cellular & Developmental BiologyResearch Interests: The systems biology, biomechanics and molecular biophysics of early spinal column development -
Farren Isaacs
Professor; Molecular, Cellular & Developmental BiologyResearch Interests: Synthetic Biology, Genome Engineering, Systems Biology, Bioengineering, Engineered biomaterials & RNAs -
Yuval Kluger
Professor; PathologyResearch Interests: Method development and analysis of genomic patters; cancer biomaker discovery; epigenetics -
Aaron Kuan
Assistant Professor; Neuroscience and Biomedical EngineeringResearch Interests: Electron microscopy and X-ray imaging techniques to enable 3D imaging of neuronal circuits combined with behavior and functional imaging to reveal how circuit connectivity underlies brain activity and cognition. -
Roy Lederman
Assistant Professor; Statistics and Data ScienceResearch Interests: Cryo-EM; numerical analysis and signal processing; geometry of data; computational biology algorithms; mathematics of data science -
Zongming Ma
Professor; Statistics and Data ScienceResearch Interests: Developing machine learning and statistical tools to gain biological insights from spatial and single-cell data -
Benjamin Machta
Assistant Professor; PhysicsResearch Interests: Statistical physics of biological systems; critical points and phase transitions, membrane systems -
Nikhil Malvankar
Associate Professor; Molecular Biophysics & BiochemistryResearch Interests: We are developing electronic Imaging & Control of Microbial Functions, by studying how environmentally and clinically important microbes build & use hair-like “nanowires” to export electrons outside their cell body, during respiration, communication, and pathogenesis and by tuning nanowire conductivity using light, pressure, temperature, electromagnetic fields, and non-natural ‘click’ chemistry. -
Simon Mochrie
Professor; Physics and Applied PhysicsResearch Interests: Quantitative microscopy and image analysis. Chromatin organization and dynamics. Nuclear envelope physics. Phase transitions of soft matter -
Edward Stites
Associate Professor; Laboratory Medicine & PathologyResearch Interests: mathematical modeling, informed machine learning, cancer biology/disease biology, systems biology, synthetic biology -
John Tsang
Professor; Immunobiology and Biomedical EngineeringResearch Interests: Systems and quantitative immunology; human immunology; single cell biology; predicting and modeling immune responses; synthetic immunology: predictive engineering of immune cell trafficking and sensing; immune homeostasis maintenance and set point establishment mechanisms; integrating dynamical modeling and machine learning to understand emergent immune system behavior across temporal and spatial scales. -
Paul Turner
Professor; Ecology & Evolutionary BiologyResearch Interests: Evolutionary genetics and genomics of microbes, experimental evolution, virus disease emergence and of virus evolvability, combining microbiology, computational biology, genomics, molecular biology and mathematical-modeling approaches -
David van Dijk
Assistant Professor; Medicine (Cardiovascular Medicine) and Computer ScienceResearch Interests: Machine Learning; Computational Biology; Genomics; Single-cell Analysis; Deep Learning; Computational Neuroscience; Machine Learning in biophysics and biochemistry -
C. Shan Xu
Professor; Cellular & Molecular PhysiologyResearch Interests: 3D volume electron microscopy, instrumentation development -
Steven Zucker
Professor; Computer Science and Biomedical EngineeringResearch Interests: Computational vision, machine learning of neuroscience data, manifold inference and neural circuits.