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Researcher
- Adam M Guss
- Ying Yang
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- John F Cahill
- Jong K Keum
- Kyle Davis
- Liangyu Qian
- Michael Kirka
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- Nance Ericson
- Nandhini Ashok
- Nicholas Richter
- Pablo Moriano Salazar
- Patxi Fernandez-Zelaia
- Paul Abraham
- Peeyush Nandwana
- Radu Custelcean
- Rangasayee Kannan
- Ryan Dehoff
- Serena Chen
- Sumit Bahl
- Sunyong Kwon
- Tim Graening Seibert
- Tomas Grejtak
- Varisara Tansakul
- Vincent Paquit
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yan-Ru Lin
- Yang Liu
- Yasemin Kaygusuz
- Yiyu Wang

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 invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

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.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

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

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.