Research

Ohio State astronomy researcher unveils the sun’s secrets with OSC support

Everything in the universe follows a life cycle—humans, plants, planets and even the sun, which has an estimated lifespan of another six to seven billion years before using all its hydrogen fuel. Sultana Nahar, a senior research professor in the Department of Astronomy at The Ohio State University, has dedicated decades to the study of the sun’s composition and evolution, with significant support from the Ohio Supercomputer Center (OSC). 

Ohio State food scientist leverages OSC resources to uncover the nutritional benefits of fruits and vegetables

At The Ohio State University, Jessica Cooperstone leads a research laboratory focused on understanding the factors that create the health benefits found in fruits and vegetables, with the aim of helping the agriculture and food industry cultivate crops that improve overall human health.

University of Maine scientist relies on OSC resources for data-intensive research on pathogen infections in wildlife

University of Maine scientist Pauline Kamath conducts research on the dynamics of infectious diseases that can spread among wildlife, with the use of the high performance computing (HPC) resources at the Ohio Supercomputer Center (OSC). Kamath, an associate professor of animal health, analyzes genetic, ecological, immunological and epidemiological data to study the evolution and transmission of harmful pathogens in animals to better understand how to treat and control infections.

Karyopharm Therapeutics scientists search for biomarkers to yield targeted patient treatments

A drug designed to treat a certain type of cancerous tumor might work well in some patients but not others. To determine why, scientists can study whether specific genetic mutations may impact the therapy’s effectiveness.

Karyopharm Therapeutics, a commercial-stage pharmaceutical company pioneering novel cancer therapies, is taking a closer look at these unique molecular characteristics of different cancers with the help of the Ohio Supercomputer Center (OSC).

Researchers use deep neural networks to predict transcription factor binding

Emily Miraldi, assistant professor in the Divisions of Immunobiology and Biomedical Informatics at Cincinnati Children’s Hospital, Department of Pediatrics at University of Cincinnati School of Medicine, leads an “immune-engineering” research group that uses mathematical modeling of the immune system to predict immune responses and understand disease.

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