Projects and Grants

The Scientific Computing division of the Icahn School of Medicine at Mount Sinai (ISMMS) has several ongoing NIH-supported studies that provide the research community with the intellectual and logistical support needed for the development and management of electronic data analysis.


Scientific Computing partners with all the basic science areas at ISMMS including Systems Biology, Genomics and Genomic Sciences, and Structural and Chemical Biology. Please see a selection of recent research below.

Typical system setup for molecular dynamics simulations of protein

HPC-NY is a consortium of higher education institutions whose goal is to promote product innovation and high-tech economic growth in New York. The consortium includes the following members: Rensselaer Polytechnic Institute, University at Buffalo (UB), Stony Brook University/Brookhaven National Laboratory, NYSERNet, Marist College, and Mount Sinai’s Icahn School of Medicine.

The Filizola Laboratory uses a variety of computational methodologies that range from bioinformatics to modeling and simulation to achieve a detailed mechanistic understanding of signal transduction processes triggered by molecular recognition in membrane protein complex systems such as the popular drug targets G Protein-Coupled Receptors (GPCRs) and platelet integrin aIIbb3.

Among the various ongoing projects in the Filizola lab, Minerva is currently utilized to simulate free association of GPCRs within model systems of cell membrane such as planar and spherical lipid bilayers.

Research projects like this one help improve our understanding of how receptors interact among themselves, forming potential new therapeutic targets for a broad spectrum of diseases.

Learn more about the work being conducted at the Filizola Laboratory.

A pyramidal neuron from the prefrontal cortex of a rhesus monkey brain (neuron from a young monkey on left and a neuron from an aged monkey on right)

The Morrison Laboratory works on synaptic plasticity, the aging brain, and the synaptic basis of age-related cognitive decline. They are particularly interested in the distinction between Alzheimer's disease and the more modest disruption of memory often referred to as age-associated cognitive impairment that often occurs in the context of normal aging.

Minerva was utilized to compare the neurons of young and aged monkeys that have had extensive assessment of their cognitive capabilities. By extracting the structural details of the neurons and revealing which neuronal changes correlate with age, research projects like this may help in the creation of new treatments that protect the neurons and retain youthful cognitive function.

The Institute for Genomics and Multiscale Biology at ISMMS is working to enable translational systems biology. The Institute faculties are experts in a wide range of areas such as machine learning, biostatistics, genetics, genomics, sequencing technology, data science, and high-performance computing (HPC). They work in collaboration with the Icahn School of Medicine’s researchers, clinicians, and institutes on fundamental and applied projects in biology, computation, and medicine.

These projects include generating diverse biological data, integrating these data to uncover mechanisms underlying complex human conditions, and the design and implementation of HPC systems to enable the creation, testing, and iterative refinement of disease models. At every step, we focus on the ultimate goal of developing novel diagnostics and therapeutics for human disease in collaboration with the medical and research community at ISMMS and beyond.

Learn more about the work being conducted at the Institute for Genomics and Multiscale Biology.

The Laboratory of Molecular Neuropsychiatry studies human psychiatric and neurological diseases using the method of cell biology, molecular biology, genetics, genomics, and animal models. Currently, they are focusing on Alzheimer's disease, autism, and schizophrenia. The lab works extensively with the Seaver Autism Center on gene discovery, genetic diagnosis, and functional genomics in autism and related disorders.

The laboratory and the Seaver Center partnered with other institutions to help build the world’s largest autism database. One of the primary drives for the project was to identify the many genetic mutations that are associated with autism. The database contains over 3,000 exomes and will expand to contain 30,000 exomes over the next three years. Through this research, scientists seek to identify the genes that cause autism, and to identify key genes in these networks that may be promising targets for future medical intervention.

Learn more about the work being conducted at the Seaver Autism Center.