Faculty Directory

NAME	INSTITUTION	TITLE	DEPARTMENT	AREA OF STUDY	RESEARCH DESCRIPTION
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
Apostolou, Effie [email \| site]	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
Berger, Michael [email \| site]	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
Betel, Doron [email \| site]	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
Birsoy, Kivanc [email \| site]	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.
Brito, Ilana Lauren [email \| site]	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
Cao, Junyue [email \| site]	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
Carrot-Zhang, Jian [email \| site]	Memorial Sloan Kettering	Assistant Professor	The Halvorsen Center for Computational Oncology	Germline-somatic interaction Cancer Genomics	Developing computational methods to link the germline genome to the somatic phenotypes.
Casanova, Jean-Laurent [email \| site]	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
Cesarman, Ethel [email \| site]	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
Chan, Joseph [email \| site]	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.
Chodera, John [email \| site]	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
Clark, Andrew [email \| site]	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
Danko, Charles [email \| site]	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
De Vlaminck, Iwijn [email \| site]	Cornell University	Associate Professor	Biomedical Engineering	Computational genomics and gene regulation Computational modeling Quantitative and systems biology	Biomedical genomics
Dey, Kushal [email \| site]	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)
Elemento, Olivier [email \| site]	Weill Cornell Medicine	Professor	Physiology and Biophysics	Cancer biology and genomics Computational genomics and gene regulation	Cancer systems biology
Eliezer, David [email \| site]	Weill Cornell Medicine	Professor	Biochemistry and Neuroscience	Structural biology and biophysics	Application of NMR spectroscopy to problems in non-native Structural Biology
Freiwald, Winrich [email \| site]	Rockefeller University	Professor & Head	Laboratory of Neural Systems	Computational Neuroscience	Computational principles of complex neural circuits use for information processing.
Fuchs, Elaine [email \| site]	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.
Greenbaum, Benjamin [email \| site]	Memorial Sloan Kettering Cancer Center	Member & Attending	Computational Oncology	Cancer biology and genomics Computational modeling Quantitative and systems biology Structural biology and biophysics	Quantifying how the immune system impacts tumor evolution
Hajirasouliha, Iman [email \| site]	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
Jaffrey, Samie [email \| site]	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
Josefowicz, Steven [email \| site]	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
Kentsis, Alex [email \| site]	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
Khurana, Ekta [email \| site]	Weill Cornell Medicine	Associate Professor	Physiology and Biophysics	Cancer biology and genomics Computational genomics and gene regulation Quantitative and systems biology	Understanding cancer initiation and development of treatment resistance using multi-modal analysis; Functional interpretation of sequence variants
Kim, Jaehee [email \| site]	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.
Kleaveland, Benjamin [email \| site]	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
Krumsiek, Jan [email \| site]	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
Lai, Eric [email \| site]	Memorial Sloan Kettering Cancer Center	Associate Member	Developmental Biology	Cancer biology and genomics	Control of developmental patterning in drosophila by Notch signaling and microRNAs
Landau, Dan [email \| site]	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
Lareau, Caleb [email \| site]	Memorial Sloan Kettering	Assistant Member	Computational and Systems Biology	Quantitative and Systems Biology	Genomics technology development; large-scale genomics analyses; generative biomolecule design
Laughney, Ashley [email \| site]	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
Leslie, Christina [email \| site]	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
Lyu, Jiankun [email \| site]	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 [email \| site]	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
Mason, Christopher [email \| site]	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
Mayr, Christine [email \| site]	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
Messer, Philipp [email \| site]	Cornell University	Associate Professor	Computational Biology	Computational modeling	Population genetics, computational evolutionary biology, evolutionary theory, genetics of rapid adaptation
Mezey, Jason [email \| site]	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
Morris, Quaid [email \| site]	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
Mucida, Daniel [email \| site]	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
Nam, Anna S. [email \| site]	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
Nimigean, Crina [email \| site]	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
Norman, Thomas [email \| site]	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
Nowak, Dawid [email \| site]	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	Investigating the molecular and cellular events driving prostate and bladder cancer progression and metastasis.
Nussenzweig, Michel [email \| site]	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
Pe’er, Dana [email \| site]	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
Reznik, Ed [email \| site]	Memorial Sloan Kettering Cancer Center	Associate Member	Computational Oncology	Cancer biology and genomics Other: Tumor metabolism and systemic physiology	Investigating the intersection of tumor metabolism, cancer genomics, and patient physiology.
Rice, Charles [email \| site]	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
Risca, Viviana [email \| site]	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
Rock, Jeremy [email \| site]	Rockefeller University	Associate Professor	Laboratory of Host-Pathogen Biology	Other: Host-pathogen interactions	Investigating the mechanisms that enable Mycobacterium tuberculosis to cause disease and evade antibiotics.
RoyChoudhury, Arindam [email \| site]	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
Sabuncu, Mert [email \| site]	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.
Schultz, Nikolaus [email \| site]	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
Shah, Sohrab [email \| site]	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
Simon, Sanford [email \| site]	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
Soldatov, Ruslan [email \| site]	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.
Tammela, Tuomas [email \| site]	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
Tansey, Wesley [email \| site]	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
Tavazoie, Sohail [email \| site]	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.
Teruel, Mary [email \| site]	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
Tilgner, Hagen [email \| site]	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
Vaziri, Alipasha [email \| site]	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
Ventura, Andrea [email \| site]	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
Victor, Jonathan [email \| site]	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
Victora, Gabriel [email \| site] HHMI Investigator	Rockefeller University	Laurie and Peter Grauer Associate Professor	Laboratory of Lymphocyte Dynamics	Immunology	Combining 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.
Wang, Fei [email \| site]	Weill Cornell Medicine	Professor	Population Health Sciences	Computational modeling	Machine learning, artificial intelligence for integrative health data analysis
Weinstein, Harel [email \| site]	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
Widman, Adam [email \| site]	Memorial Sloan Kettering	Assistant Member	Digital Oncology Program	Cancer Biology and genomics Other: Liquid Biopsy	Using machine learning and genomics to engineer the next-generation of ultrasensitive, highly scalable liquid biopsies for early cancer detection, treatment monitoring, and detection of minimal residual disease (MRD) after surgery for early-stage cancer.
Wu, Zhuhao [email \| site]	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.
Xavier, Joao [email \| site]	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
Yu, Haiyuan [email \| site]	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
Zallen, Jennifer [email \| site]	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 [email \| site]	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
Zhu, Chenxu [email \| site]	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.