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Researcher
- Adam M Guss
- Peeyush Nandwana
- Amit Shyam
- Andrzej Nycz
- Biruk A Feyissa
- Blane Fillingim
- Brian Post
- Carrie Eckert
- Josh Michener
- Kuntal De
- Lauren Heinrich
- Mike Zach
- Rangasayee Kannan
- Sudarsanam Babu
- Thomas Feldhausen
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Yousub Lee
- Alex Plotkowski
- Alex Roschli
- Alex Walters
- Andres Marquez Rossy
- Andrew F May
- Austin Carroll
- Ben Garrison
- Brad Johnson
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- Bruce A Pint
- Bruce Moyer
- Bryan Lim
- Charlie Cook
- Chris Masuo
- Christopher Fancher
- Christopher Hershey
- Clay Leach
- Craig Blue
- Daniel Jacobson
- Daniel Rasmussen
- Debjani Pal
- Erin Webb
- Evin Carter
- Gerald Tuskan
- Gordon Robertson
- Hsin Wang
- Ilenne Del Valle Kessra
- Isaiah Dishner
- James Klett
- Jay D Huenemann
- Jay Reynolds
- Jeff Brookins
- Jeff Foster
- Jeffrey Einkauf
- Jennifer M Pyles
- Jeremy Malmstead
- Jerry Parks
- Joanna Tannous
- John F Cahill
- John Lindahl
- Justin Griswold
- Kitty K Mccracken
- Kyle Davis
- Laetitia H Delmau
- Liangyu Qian
- Luke Sadergaski
- Mengdawn Cheng
- Nandhini Ashok
- Nedim Cinbiz
- Oluwafemi Oyedeji
- Padhraic L Mulligan
- Paul Abraham
- Paula Cable-Dunlap
- Peter Wang
- Ryan Dehoff
- Sandra Davern
- Serena Chen
- Soydan Ozcan
- Steven J Zinkle
- Tim Graening Seibert
- Tomas Grejtak
- Tony Beard
- Tyler Smith
- Vincent Paquit
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Xianhui Zhao
- Yang Liu
- Yanli Wang
- Yasemin Kaygusuz
- Ying Yang
- Yiyu Wang
- 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.

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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 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.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

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.