Faculty

Mohammed AlQuraishi (Department of Systems Biology)

Machine learning, structural and systems biology

Elham Azizi (Department of Biomedical Engineering)

Machine learning, statistics, genomics, bioengineering techniques, cancer biology

Daniel Belsky (Department of Epidemiology)

Aging, genetics, epidemiology

Andres Bendesky (Department of Ecology, Evolution, and Environmental Biology)

Behavioral genetics and genomics, population genetics, quantitative genetics, neuroscience

Harmen Bussemaker (Department of Biological Sciences)

Gene expression regulation, transcription factors, SELEX-seq, biophysical models of protein-DNA interaction, computational inference

Angela Christiano (Departments of Dermatology, and Genetics and Development)

Study of inherited skin and hair disorders in humans and mice, genetics

Bianca Dumitrascu (Department of Statistics)

Machine learning, statistical and probabilistic modeling, genetics, single cell genomics

Christine Garcia (Department of Medicine)

Genetics, pulmonary fibrosis, lung disease, telomere-related disorders

Jellert Gaublomme (Department of Biological Sciences)

Spatial transcriptomics, single-cell genomics and molecular interactions

Ali Gharavi (Department of Medicine)

Genetics of kidney failure, IgA nephropathy, congenital kidney defects, precision medicine, genetics of constitutional disorders

Joseph Gogos (Department of Neuroscience)

Schizophrenia, genetics, animal models, stem cell models

Gamze Gursoy (Department of Biomedical Informatics and New York Genome Center)

Genomics, privacy, security

Wenpin Hou (Department of Biostatistics)

Single-cell genomics, epigenomics, spatial transcriptomics, machine learning, applications of GPT models to genomics

Iuliana Ionita-Laza (Department of Biostatistics)

Statistical genomics, machine learning, sequence-based association tests, functional genomics, electronic health records

Marko Jovanovic (Department of Biological Sciences)

Translational control, proteomics, ribosome profiling, molecular interactions

Krzysztof Kiryluk (Department of Medicine)

Human genetics and genomics, complex traits, precision medicine, kidney disease

David Knowles (Department of Computer Science)

Variational methods, RNA splicing, CRISPR/Cas13-based methods, Bayesian nonparametric models

Tal Korem (Department of Systems Biology)

Microbiome, microbiome-based diagnostics, clinical applications, computational methods

Tuuli Lappalainen (New York Genome Center)

Regulatory variants, functional variation, molecular phenotypes

Suzanne Leal (Department of Neurology)

Statistical genetics, genetic epidemiology, method development, and complex and Mendelian traits

Zhonghua Liu (Department of Biostatistics)

Statistical genetics, genetic epidemiology, causal inference

Stavros Lomvardas (Department of Biochemistry and Molecular Biophysics)

in situ HiC, single cell HiC, ChIP-seq, ATAC-seq sc-RNAseq, 3D Nuclear architecture, heterochromatin, monoallelic gene expression

Sander Markx (Department of Psychiatry)

Whole-genome sequencing, deep phenotying, hiPSC-derived neuronal models of psychiatric disorders, precision psychiatry

Richard Mayeux (Department of Neurology)

Genetic epidemiology of neuro-degenerative diseases, functional genomics, endophenotype development for genetic studies

Gary Miller (Department of Environmental Health Sciences )

Exposome, high resolution mass spectrometry, toxicology, neurodegeneration, C. elegans

Ruth Ottman (Department of Epidemiology)

Genetic epidemiology, Neurologic disorders, ELSI

Itsik Pe'er (Department of Computer Science)

Statistical genetics, microbiome, temporal models, machine learning

Molly Przeworski (Department of Biological Sciences)

Population genetics, human genetics, mutation, recombination

Raul Rabadan (Department of Systems Biology)

Genomics, cancer genomics, mathematical biology

Muredach Reilly (Department of Medicine)

Genomics of complex cardiovascular traits, single cell genomics in cardiovascular disease, functional genomics in IPSC and mouse models of cardiovascular loci

Simone Sanna-Cherchi (Department of Medicine)

Developmental genetics, structural variants and copy number variations, genetics of nephrotic syndrome, rare variants association

Guy Sella (Department of Biological Sciences)

Population genetics, quantitative genetics, evolutionary genetics, complex traits, natural selection, adaptation

Yufeng Shen (Department of Systems Biology)

Rare variants, developmental disorders, computational genetics, statistical genetics

Peter Sims (Department of Systems Biology)

Single-cell genomics, cancer systems biology, neurological disorders, human immunology

Simon Tavare (Department of Statistics and Biological Sciences)

Theoretical population genetics, including inference for coalescent processes, statistical genetics, stochastic models for cancer evolution

Mary Beth Terry (Department of Epidemiology)

Molecular epidemiology, genomics, epigenomics, biomarkers, environmental exposures, cancer risk

Maria Antonietta Tosches (Department of Biological Sciences)

Single-cell RNAseq, cell types, neuroscience

Badri Vardarajan (Department of Neurology)

Multi-omics integration, Alzheimer’s Disease genomics

Gao Wang (Department of Neurology)

Multi-omics integration, computational genomics, neurological disorders

Shuang Wang (Department of Biostatistics)

Multi-omics data integration, electronic health records

Ying Wei (Department of Biostatistics)

Quantile regression, semiparametric methods, statistical learning, missing data and measurement errors

Chunhua Weng (Department of Biomedical Informatics)

Phenotype-driven genetic diagnosis, electronic health records, phenotyping

Chris Wiggins (Department of Applied Mathematics)

Computational biology, network data analysis, bandit problems, variational inference, statistics

Bin Xu (Department of Psychiatry)

Neuropsychiatric disorders, functional annotation of genetic mutations, iPSC based disease modeling

Chaolin Zhang (Department of Systems Biology)

RNA regulatory networks, neuronal RNA-binding proteins, alternative splicing

Tian Zheng (Department of Statistics)

Predictive modeling, machine learning, applied statistics