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Researcher
- Adam M Guss
- Peeyush Nandwana
- Michael Kirka
- Rangasayee Kannan
- Ryan Dehoff
- Brian Post
- Sudarsanam Babu
- Adam Stevens
- Amit Shyam
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- Carrie Eckert
- Christopher Ledford
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- Kuntal De
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- Thomas Feldhausen
- Udaya C Kalluri
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- Vincent Paquit
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- Ying Yang
- Yousub Lee
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- Corson Cramer
- Daniel Jacobson
- Debjani Pal
- Fred List III
- Gerald Tuskan
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- Ilenne Del Valle Kessra
- Isaiah Dishner
- James Klett
- Jay D Huenemann
- Jay Reynolds
- Jeff Brookins
- Jeff Foster
- Jerry Parks
- Joanna Tannous
- John F Cahill
- Keith Carver
- Kyle Davis
- Liangyu Qian
- Nandhini Ashok
- Patxi Fernandez-Zelaia
- Paul Abraham
- Peter Wang
- Philip Bingham
- Richard Howard
- Roger G Miller
- Sarah Graham
- Serena Chen
- Singanallur Venkatakrishnan
- Steve Bullock
- Steven J Zinkle
- Thomas Butcher
- Tim Graening Seibert
- Tomas Grejtak
- Trevor Aguirre
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yan-Ru Lin
- Yang Liu
- Yanli Wang
- Yasemin Kaygusuz
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato

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.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.

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.

This technology identifies enzymatic routes to synthesize amide oligomers with defined sequence to improve polymerization of existing materials or enable polymerization of new materials. Polymers are generally composed of one (e.g. Nylon 6) or two (e.g.

This technology can activate gene expression in a time- and dose-dependent manner in the thermophilic bacterium Clostridium thermocellum. This system will mediate inducible gene expression for strain engineering in C.