Eat4Genes: A Bioinformatic Rational Gene Targeting App to Address Pathologies using Healthy Diet

Eat4Genes is a prototype diet recommendation web app for patients, healthcare providers, and researchers that aids in the selection of a healthy diet to help treat and prevent numerous health conditions. Our approach is focused on the strategic use of diet to regulate key risk gene expression, which we call dietary rational gene targeting (DRGT).

Risky Business? Deep Dives into DeFi

We seek to investigate current patterns of usage in DeFi lending protocols, and quantify risk and user behaviors across various protocols. Our strategy is to exploit powerful AI models and technology developed for transaction data such as those arising in health and commerce. For example, we can utilize temporal clustering to characterize different types of users and then use these in a dashboard to understand how usage of lending protocols changes over time.

HPC-Quantum Workshops

Posted July 10, 2024

In a continuation to the HPC-Quantum integration efforts at RPI in collaboration with IBM, proposals are being sought for projects with potential applications and use cases for the upcoming HPC-Quantum workflow. For facilitation and discussion, we invite you to join a workshop on Wednesday, July 24 in CII 3130 (remote option available, see below) from 9 AM – 12 noon. Projects proposed in this workshop are expected to move forward to a joint workshop with IBM on August 7 for detailed discussions on implementation.

Collaborative Effort with IBM Quantum for HPC-Quantum Integration

Posted June 10, 2024

We are pleased to announce a collaborative effort with IBM Quantum for HPC-Quantum integration, originating from the first HPC-Quantum integration workshop at the launch ceremony for the Quantum System One in April.

We invite you to join us for a deep-dive presentation of recent advances in HPC-Quantum integration [1]. The goal is to identify subject-matter experts at RPI in HPC and Quantum Computing and their applications.

Follow-up presentations on HPC-Quantum integration will be announced soon.

DATE: Friday, June 14th, 2024

The RPI Mars Data Explorer

The Mars Data Explorer aims to transcend traditional data presentation methods by integrating this geolocated, multi-faceted dataset atop an interactive map that traces the rover’s journey across the Martian landscape. Our platform significantly reduces the time from acquisition of raw data to its interactive visualization, enabling immediate insights and fostering a dynamic environment for scientific discovery. By leveraging cutting-edge data analytics techniques and sophisticated visualization tools, our project offers a comprehensive and intuitive exploration of the chemical and mineralogical composition of Mars’ surface. The interactive map not only contextualizes the spatial distribution of analyzed samples but also enables users to engage with the data in an immersive way. Users can select and zoom into specific sampling and analysis locations along Perseverance’s path, access detailed analyses from SHERLOC and PIXL, and visualize comparisons across datasets and samples for real-time data exploration Our approach emphasizes the combination of analytical rigor with dynamic visualizations for deeper data exploration and hypothesis testing in a visualization-enabled, group contribution environment. This process accelerates discovery, fosters cross-disciplinary collaborations, and serves as an example for ongoing and future astrobiology and planetary science missions. “Mars 2020 on the Campfire: An Interactive Data Visualization and Analysis Platform” project highlights the transformative power of data visualization and analytics and how the addition of these tools can change the dynamics of interdisciplinary collaboration in science.