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Researcher
- Vivek Sujan
- Adam M Guss
- Omer Onar
- Adam Siekmann
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Chad Steed
- Erdem Asa
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- Kuntal De
- Subho Mukherjee
- Travis Humble
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- Vilmos Kertesz
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- Austin Carroll
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- Clay Leach
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- Liangyu Qian
- Nandhini Ashok
- Paul Abraham
- Samudra Dasgupta
- Serena Chen
- Shajjad Chowdhury
- Vincent Paquit
- Yang Liu
- Yasemin Kaygusuz

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

By engineering the Serine Integrase Assisted Genome Engineering (SAGE) genetic toolkit in an industrial strain of Aspergillus niger, we have established its proof of principle for applicability in Eukaryotes.

The growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

We present a comprehensive muti-technique approach for systematic investigation of enzymes generated by wastewater Comamonas species with hitherto unknown functionality to wards the depolymerization of plastics into bioaccessible products for bacterial metabolism.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.