Faculty Directory
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NAME | INSTITUTION | TITLE | DEPARTMENT | AREA OF STUDY | RESEARCH DESCRIPTION | |
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Aksay, Emre [email | site] |
Weill Cornell Medicine | Associate Professor | Physiology and Biophysics |
Computational modeling Computational neuroscience Quantitative and Systems Biology Structural Biology and Biophysics |
Dynamics in neural systems | |
Weill Cornell Medicine | Professor | Physiology and Biophysics | Structural biology and biophysics | Mechanisms governing the regulation of membrane proteins by their host bilayer | ||
Weill Cornell Medicine | Associate Professor | Department of Medicine, Cancer Center | Genomics and gene regulation Other: Stem cell and chromatin biology |
Role of 3D chromatin organization in regulation of gene expression and cell fate | ||
Memorial Sloan Kettering Cancer Center | Associate Member | Developmental Biology | Quantitative and systems biology | Dynamics of worm embryogenesis | ||
Memorial Sloan Kettering Cancer Center | Associate Member | Pathology Cancer Biology and Genomics | Structural biology and biophysics | Identification of genomic biomarkers of cancer progression and response to therapy | ||
Weill Cornell Medicine | Associate Professor | Medicine, Division of Computational Biomedicine |
Cancer biology and genomics Genomics and gene regulation Quantitative and systems biology |
Application and development of statistical and algorithmic approaches for studies of cancer biology and stem cell biology | ||
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Rockefeller University | Associate Professor | Laboratory of Neural Systems |
Cancer biology and genomics Other: Metabolomics |
Long-term goal is to understand how metabolic pathways in mammalian cells are rewired by their nutrient environment and to determine whether these pathways present metabolic liabilities that could be exploited for disease therapy. | |
Cornell University | Professor | Computational Biology | Computational genomics and gene regulation | Development of statistical methods for analyzing modern biological data | ||
Cornell University | Associate Professor | Biological Statistics and Computational Biology |
Computational genomics and gene regulation Computational modeling |
The human microbiome, horizontal gene transfer, antibiotic resistance, the microbiome of developing world populations, evolution of the microbiome, genetic determinants of microbiome composition, metagenomics, single-cell genomics | ||
Rockefeller University | Assistant Professor | Laboratory of Single Cell Genomics and Population Dynamics |
Cancer biology and genomics Computational genomics and gene regulation Computational modeling Quantitative and systems biology |
Integrating both experimental and computational approaches to understand fundamental questions in single-cell genomics and population dynamics | ||
Memorial Sloan Kettering | Assistant Professor | The Halvorsen Center for Computational Oncology | Multi-ancestral germline-somatic interaction | We are interested in understanding how genetic determinants shape the tumor genomes, and how the interactions between genetic ancestry, environmental exposure and somatic alteration contribute to tumor aggressiveness, progression, and response to treatment. Using cutting-edge statistical and machine learning approaches to leverage large-scale, real-world genomic data to find germline determinants driving cancer that will have broad applications in cancer prevention, early detection, and precision medicine. Another focus of the lab is using whole-genome sequencing to identify novel drivers and biomarkers to bridge one of the biggest gaps in cancer genomics. | ||
Casanova, Jean-Laurent |
Rockefeller University |
Investigator, Howard Hughes Medical Institute Professor and Head |
St. Giles Laboratory of Human Genetics of Infectious Diseases |
Computational modeling Quantitative and systems biology |
Human genetics of infectious disease | |
Weill Cornell Medicine | Professor | Pathology |
Cancer biology and genomics Computational genomics and gene regulation |
Molecular mechanisms of viral oncogenesis and lymphomagenesis. genomic analyses of several lymphoma subtypes, including next generation transcriptome and exome sequencing | ||
Memorial Sloan Kettering | Assistant Attending | Thoracic Oncology and Human Oncology & Pathogenesis Program |
Computational biology and single-cell genomics, with a focus on small cell transformation in lung and prostate cancer |
Machine learning integrating single-cell sequencing and multiplex spatial imaging to study mechanisms of acquired resistance in cancer, with special focus on histological transformation and other forms of lineage plasticity. | ||
Memorial Sloan Kettering Cancer Center | Associate Member | Computational and Systems Biology |
Computational modeling Quantitative and systems biology Structural biology and biophysics |
Computational design of small molecules for drug discovery; functional dynamics of kinases; multiscale simulation of cellular pathways; statistical mechanics; computational chemistry | ||
Cornell University | Professor | Molecular Biology and Genetics | Computational genomics and gene regulation | Genomics of complex traits; human population genetics and genomics; comparative genomics; Drosophila evolutionary genomics | ||
Cornell University | Associate Professor | College of Veterinary Medicine |
Cancer biology and genomics Computational genomics and gene regulation Computational modeling Quantitative and systems biology |
Studies how gene expression patterns are encoded in Metazoan DNA sequence, and how these patterns contribute to evolution, development, and disease | ||
Memorial Sloan Kettering Cancer Center | Assistant Professor/Member | Computational and Systems Biology |
Computational genomics and gene regulation Computational modeling Quantitative and Systems Biology |
Build Machine learning models and algorithms to decode functional architecture of complex disease (Alzheimers, Lupus, Cancer etc) | ||
Cornell University | Associate Professor | Biomedical Engineering |
Computational genomics and gene regulation Computational modeling Quantitative and systems biology |
Biomedical genomics | ||
Weill Cornell Medicine | Professor | Physiology and Biophysics |
Cancer biology and genomics Computational genomics and gene regulation |
Cancer systems biology | ||
Weill Cornell Medicine | Professor | Biochemistry and Neuroscience | Structural biology and biophysics | Application of NMR spectroscopy to problems in non-native Structural Biology | ||
Rockefeller University | Professor & Head | Laboratory of Neural Systems | Computational Neuroscience | Computational principles of complex neural circuits use for information processing. | ||
Fuchs, Elaine |
Rockefeller University |
Investigator, Howard Hughes Medical Institute Professor & Head |
Robin Chemers Neustein Laboratory of Mammalian Cell Biology and Development |
Cancer biology and genomics Computational genomics and gene regulation |
High throughput technology to elucidate the mechanisms underlying how tissue stem cells respond to their environment to make and repair tissues and how this goes awry in cancer. | |
Memorial Sloan Kettering Cancer Center | Associate Member | Computational Oncology |
Cancer biology and genomics Computational modeling Quantitative and systems biology Structural biology and biophysics |
Quantifying how the immune system impacts tumor evolution | ||
Weill Cornell Medicine | Associate Professor | Physiology and Biophysics |
Computational genomics and gene regulation Cancer biology and genomics |
Developing new algorithms and applications of computational methods to genomics; structural variation (SV) discovery in sequenced genomes; quantifying somatic mutations, functional assays and cancer evolution; investigating new sequencing technologies such as read clouds based methods (e.g. 10X) or single cell | ||
Rockefeller University |
Investigator, Howard Hughes Medical Institute Professor and Head |
Laboratory of Sensory Neuroscience | Structural biology and biophysics | Research is focused on hearing process; expertise in membrane biophysics, cellular mechanics and developmental biology | ||
Weill Cornell Medicine | Professor | Department of Pharmacology |
Computational genomics and gene regulation Cancer biology and genomics Quantitative and systems biology |
Uses bioinformatic and computational approaches to identify novel mechanisms controlling gene expression in cells | ||
Weill Cornell Medicine | Associate Professor | Pathology and Laboratory Medicine |
Computational genomics and gene regulation Cancer biology and genomics |
Studies at the intersection of epigenetics and immunity | ||
Memorial Sloan Kettering Cancer Center | Associate Member | Molecular Pharmacology and Chemistry |
Cancer biology and genomics Computational genomics and gene regulation Quantitative and systems biology Structural biology and biophysics Other: Computational proteomics |
Research on the functional proteomics and genomic plasticity of refractory childhood cancers | ||
Weill Cornell Medicine | Associate Professor | Physiology and Biophysics |
Cancer biology and genomics Computational genomics and gene regulation Quantitative and systems biology |
Functional interpretation of genomic sequence variants | ||
Cornell University | Assistant Professor | Computational Biology |
Computational modeling Quantitative and systems biology Cancer Biology and genomics |
Development and application of statistical methods and mathematical models for understanding the evolutionary processes and population dynamics. | ||
Weill Cornell Medicine | Assistant Professor | Pathology and Laboratory Medicine |
Computational genomics and gene regulation Quantitative and systems biology |
Functions and mechanisms of long noncoding RNAs and circular RNAs in mammals | ||
Cornell University | Assistant Professor | Molecular Biology and Genetics |
Computational genomics and gene regulation Cancer biology and genomics |
Genomics of DNA replication timing and mutagenesis | ||
Weill Cornell Medicine | Associate Professor | Physiology and Biophysics |
Cancer biology and genomics Computational modeling Quantitative and systems biology |
Development of novel computational methods for multi-omics integration using pathways and networks | ||
Memorial Sloan Kettering Cancer Center | Associate Member | Developmental Biology | Cancer biology and genomics | Control of developmental patterning in drosophila by Notch signaling and microRNAs | ||
Weill Cornell Medicine | Professor | Physiology and Biophysics |
Cancer biology and genomics Computational genomics and gene regulation Quantitative and systems biology |
Fundamental principles in evolutionary biology and biological regulation of mammalian cells; Chart a roadmap of the basic dimensions that determine the course of cancer evolution | ||
Memorial Sloan Kettering | Assistant Member | Computational and Systems Biology | Quantitative and Systems Biology | Genomics technology development; large-scale genomics analyses; generative biomolecule design | ||
Weill Cornell Medicine | Assistant Professor | Physiology and Biophysics |
Cancer biology and genomics Computational genomics and gene regulation Computational modeling Quantitative and systems biology |
Utilizing high-throughput single cell sequencing and quantitative imaging technologies, as well as mouse models of metastasis, to mechanistically dissect tumor cell heterogeneity through the lens of tissue regeneration and repair |
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Cornell University | Tisch University Professor | Electrical and Computer Engineering, Cornell Tech | Computational neuroscience | Understanding general computational principles in biological systems and applying that knowledge to build autonomous systems | ||
Memorial Sloan Kettering Cancer Center | Member – Chair, CBM | Computational Biology |
Cancer biology and genomics Computational genomics and gene regulation |
Transcriptional regulatory networks; Gene silencing by microRNAs; Remote protein homology detection | ||
Cornell University | Professor | Neurobiology and Behavior | Computational neuroscience | Computational biology of the sense of smell | ||
Cornell University | Professor | Molecular Biology and Genetics | Computational genomics and gene regulation | Developing strategies to study the structure of promoters and genes and the mechanisms of their regulation in living cells | ||
Rockefeller University | Assistant Professor | Evnin Family Laboratory of Computational Molecular Discovery |
Computational Modeling Structural Biology & Biophysics |
Developing computational tools to bring interesting chemistry to novel therapeutics | ||
Magnasco, Marcelo |
Rockefeller University | Professor & Head | Laboratory of Integrative Science |
Computational modeling Quantitative and systems biology Computational neuroscience Other: Computational analysis of vocal and postural behavior |
Computational and cognitive neuroscience | |
Weill Cornell Medicine | Professor | Physiology and Biophysics | Computational genomics and gene regulation | Using integrative functional genomics to map the molecular and evolutionary dynamics of brain development and cancer | ||
Memorial Sloan Kettering Cancer Center | Associate Member | Cancer Biology and Genetics |
Computational genomics and gene regulation Cancer biology and genomics Quantitative and systems biology |
Role of 3’UTR-mediated protein-protein interactions and regulation of alternative polyadenylation, including intronic polyadenylation, in normal and cancer cells | ||
Cornell University | Associate Professor | Computational Biology | Computational modeling | Population genetics, computational evolutionary biology, evolutionary theory, genetics of rapid adaptation | ||
Cornell University Weill Cornell Medicine |
Professor |
Computational Biology Genetic Medicine |
Computational genomics and gene regulation Quantitative and systems biology |
Quantitative genetics/genomics, statistical genetics, computational biology; pathway modeling; molecular evolution | ||
Memorial Sloan Kettering Cancer Center | Member | Computational and Systems Biology |
Cancer biology and genomics Genomics and gene regulation Quantitative and systems biology |
Machine learning for biomedical research with a focus on gene regulation, particularly RNA-binding proteins, and cancer evolution and genomics | ||
Rockefeller University | Professor, HHMI Investigator | Laboratory of Mucosal Immunology |
Other: Mucosal Immunology Other: Neuro-Immune Interactions Other: Barrier Immunology Other: Host-microbe interactions |
Resistance and tolerance in the intestine | ||
Cornell University | Adjunct Professor | Physics | Quantitative and systems biology | Systems biology of regulatory, signaling, and metabolic networks | ||
Weill Cornell Medicine | Assistant Professor | Pathology and Laboratory Medicine |
Cancer biology and genomics Genomics and gene regulation Quantitative and systems biology |
Genotype-to-phenotype relationships in neoplastic blood development | ||
Weill Cornell Medicine | Professor | Physiology and Biophysics in Anesthesiology |
Computational modeling Structural biology and biophysics |
Understanding the molecular mechanisms of function and lipid modulation of ion channel proteins using biophysical, biochemical, structural biology, and molecular dynamics techniques |
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Weill Cornell Medicine | Professor | Physiology and Biophysics |
Computational modeling Computational neuroscience Structural biology and biophysics |
Neuronal network information processing | ||
Memorial Sloan Kettering Cancer Center | Assistant Member | Computational and Systems Biology |
Cancer biology and genomics Genomics and gene regulation Computational modeling |
Computational and functional genomics approaches for studying how genes interact to realize complex phenotypes | ||
Weill Cornell Medicine | Assistant Professor | Department of Medicine, Division of Hematology and Medical Oncology, Sandra and Edward Meyer Cancer Center |
Cancer biology and genomics Quantitative and systems biology |
Unraveling the molecular underpinnings of aggressive prostate and bladder cancers, focusing specifically on the evolutionary aspects of metastasis mechanisms. Charting complicated routes cancer cells take as they navigate through the body to reveal the “hidden highways and byways” of metastasis, guiding us towards potential “roadblocks”, long-term manifested as novel therapeutic interventions preventing and/or curing metastasis. | ||
Rockefeller University | Zanvil A Cohn and Ralph M Steinman Professor | Laboratory of Molecular Immunology | Other: Immunology and Genomics | Investigating the molecular aspects of the immune system’s innate and adaptive responses using a combination of biochemistry, molecular biology, and genetics | ||
Memorial Sloan Kettering Cancer Center | Chair | Computational and Systems Biology |
Cancer biology and genomics Computational genomics and gene regulation |
Combining single cell technologies, genomic datasets and machine learning algorithms to address fundamental questions in biomedical science | ||
Cornell University | Professor | Mechanical and Aerospace Engineering | Quantitative and systems biology | Nonlinear dynamics in biology | ||
Rockefeller University | Professor | Laboratory of Virology & Infectious Disease |
Computational genomics and gene regulation Quantitative and systems biology Other: Virology (host-virus interaction) |
Pathogenic viruses and innate antiviral immune mechanisms | ||
Rockefeller University | Assistant Professor | Laboratory of Genome Architecture and Dynamics |
Cancer biology and genomics Computational modeling Quantitative and systems biology Genomics and gene regulation Structural biology and biophysics |
Three-dimensional structure of chromatin at high resolution and biophysical mechanisms that regulate DNA accessibility and transcription | ||
Rockefeller University | Associate Professor | Laboratory of Host-Pathogen Biology |
Other: Host-pathogen interactions |
Mycobacterium tuberculosis is a bacterial pathogen and the leading causes of death due to infectious disease. In 2022, an estimated 10 million people fell ill with tuberculosis (TB). By investigating the mechanisms that enable this bacterium to cause TB and evade antibiotics, the Rock lab aims to lay the foundation for new therapeutic strategies to improve control of this pandemic. | ||
Weill Cornell Medicine | Associate Professor | Biostatistics & Epidemiology, Healthcare Policy & Research |
Genomics and Gene Regulation Quantitative and Systems Biology |
Computational and statistical methods for genomic tree in microbial epidemiology, microbiome and taxonomy; Data driven complex-systems understanding of aging process | ||
Cornell University Weill Cornell Medicine |
Professor |
Electrical and Computer Engineering Radiology |
Other: Artificial Intelligence for Medical Imaging | Biomedical data analysis, in particular imaging data, and with an application emphasis on neuroscience and neurology. Machine learning, signal/image processing, probabilistic modeling, statistical inference, computer vision, computational geometry, and graph theory to develop algorithms that allow us to learn from and exploit large-scale biomedical data | ||
Weill Cornell Medicine | Professor |
Neurology and Neuroscience Public Health |
Computational neuroscience | Development of neuromodulation strategies and improved diagnostics for the rational therapy of chronic cognitive disabilities resulting from brain injuries | ||
Memorial Sloan Kettering Cancer Center | Associate Member | Computational Oncology, Epidemiology and Biostatistics | Cancer Biology and Genomics | Identifying genomic alterations that underlie different types of cancer | ||
Memorial Sloan Kettering Cancer Center | Chief | Computational Oncology |
Cancer biology and genomics Computational modeling Quantitative and systems biology |
Bringing together concepts in population genetics such as mutational processes, phylogenetics and fitness to better understand the determinants of cancer initiation, spread and therapeutic resistance | ||
Rockefeller University | Professor & Head | Laboratory of Cellular Biophysics |
Cancer biology and genomics Computational modeling Quantitative and systems biology Genomics and gene regulation Structural biology and biophysics |
Interfacing computational and biophysical studies of cellular functions and studies of childhood cancer from identifying drives to developing therapeutics for clinical trials | ||
Memorial Sloan Kettering Cancer Center | Assistant Member | Computational Oncology |
Cancer biology and genomics Genomics and gene regulation Quantitative and systems biology |
Quantitative modeling of regulatory and evolutionary dynamics in normal and malignant somatic tissues; Computational methods for single-cell genomics. | ||
Memorial Sloan Kettering Cancer Center | Assistant Member | Computational Oncology |
Cancer biology and genomics Computational modeling Quantitative and systems biology Machine learning |
Statistical machine learning methods; novel agent and combination therapy discovery; spatial modeling of the tumor microenvironment | ||
Memorial Sloan Kettering Cancer Center | Assistant Member | Cancer Biology and Genetics | Cancer biology and genomics | Tumor heterogeneity, genetically engineered mouse models of cancer, stem cell biology | ||
Rockefeller University | Professor & Head | Laboratory of Cancer Systems Biology |
Cancer biology and genomics Computational modeling Quantitative and systems biology Genomics and gene regulation |
Employ computational and experimental methods to understand mechanisms underlying cancer progression and gene regulation. | ||
Weill Cornell Medicine | Associate Professor | Biochemistry |
Computational modeling Quantitative and systems biology Other: Computational Imaging Other: Machine Learning |
Linking biological rhythms and metabolism. Circadian rhythms and cell cycle control of cell differentiation; Obesity and diabetes | ||
Weill Cornell Medicine | Associate Professor | Neuroscience |
Computational genomics and gene regulation Computational neuroscience Quantitative and systems biology |
Next generation transcriptomics in the brain and its diseases | ||
Rockefeller University | Associate Professor | Laboratory of Neurotechnology and Biophysics |
Computational modeling Computational neuroscience Other: Computational imaging |
Development and application of new optical tools to advance biology, in particular new optics-based neurotechnologies for large-scale, high-speed and single-cell resolution interrogation of neuroactivity across model systems | ||
Memorial Sloan Kettering Cancer Center | Member | Cancer Biology and Genetics | Cancer biology and genomicsGenomics and gene regulation | Using a combination of in vivo, computational, and biochemical approaches to study non coding RNAs and to create novel mouse models of human cancer |
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Weill Cornell Medicine | Professor | Neurology and Neuroscience |
Computational neuroscience Quantitative and systems biology |
Visual information processing, especially motion and form; active vision; information theory; time series analysis; chemical senses | ||
HHMI Investigator |
Rockefeller University | Laurie and Peter Grauer Associate Professor | Laboratory of Lymphocyte Dynamics | Immunology | Work in the Victora lab combines mouse genetics and microscopy to study the clonal and cellular dynamics of the antibody response, with particular focus on how B cells respond to immunization and infection. | |
Memorial Sloan Kettering Cancer Center | Assistant Member | Developmental Biology Program, Center for Stem Cell Biology | Genomics and gene regulation | Dissecting mechanisms of cell fate specification in the developing mouse and human brain | ||
Weill Cornell Medicine | Professor | Population Health Sciences | Computational modeling | Machine learning, artificial intelligence for integrative health data analysis | ||
Weill Cornell Medicine | Professor and Chairman | Physiology and Biophysics |
Computational modeling Quantitative and systems biology Structural biology and biophysics |
Structural, dynamic and electronic determinants of biological processes underlying physiological functions such as those triggered by molecular recognition and leading to signal transduction in systems of ever increasing size and complexity | ||
Weill Cornell Medicine | Assistant Professor | Feil Family Brain and Mind Research Institute |
Other: Brain Imaging Other: Development and Degeneration |
Advanced 3D imaging for whole intact organs to analyze organ-level biological patterns and properties. The cellular-resolution 3D datasets presents new opportunities for holistic understanding of brain health. Advanced computational tools, facilitating both basic profiling of brain composition and translational research for complicated neurological and psychiatric diseases. | ||
Memorial Sloan Kettering Cancer Center | Member | Computational and Systems Biology |
Cancer biology and genomics Computational modeling |
Computational models and quantitative experiments of biofilms and cancer | ||
Cornell University | Associate Professor | Computational Biology | Quantitative and systems biology | Quantitative and experimental systems biology; statistical genetics; comparative genomics; machine learning; molecular evolution; disease prognosis analysis | ||
Memorial Sloan Kettering Cancer Center | Member |
Investigator, Howard Hughes Medical Institute Developmental Biology |
Quantitative and systems biology | Development of computational tools to visualize cell dynamics in multicellular systems. | ||
Zhao, Li |
Rockefeller University | Assistant Professor | Laboratory of Evolutionary Genetics and Genomics |
Cancer biology and genomics Quantitative and systems biology Genomics and gene regulation Other: Evolutionary genomics |
Evolutionary genomics and populations genetics to study the process of gene origination and genome evolution | |
Weill Cornell Medicine | Assistant Professor | Physiology and Biophysics | Genomics and gene regulation | Single-cell epigenomics and multiomics technology development; impacts of DNA damage on gene regulation; epigenomics of aging. |
*This faculty member is no longer accepting new graduate students.