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Researcher
- Adam M Guss
- Peeyush Nandwana
- Benjamin Manard
- Amit Shyam
- Andrzej Nycz
- Biruk A Feyissa
- Blane Fillingim
- Brian Post
- Carrie Eckert
- Cyril Thompson
- Josh Michener
- Kuntal De
- Lauren Heinrich
- Rangasayee Kannan
- Sudarsanam Babu
- Thomas Feldhausen
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Yousub Lee
- Alexander I Wiechert
- Alex Plotkowski
- Alex Roschli
- Alex Walters
- Andres Marquez Rossy
- Austin Carroll
- Brian Sanders
- Bruce A Pint
- Bryan Lim
- Charles F Weber
- Chris Masuo
- Christopher Fancher
- Clay Leach
- Costas Tsouris
- Daniel Jacobson
- Debjani Pal
- Erin Webb
- Evin Carter
- Gerald Tuskan
- Gordon Robertson
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jay D Huenemann
- Jay Reynolds
- Jeff Brookins
- Jeff Foster
- Jeremy Malmstead
- Jerry Parks
- Joanna Mcfarlane
- Joanna Tannous
- John F Cahill
- Jonathan Willocks
- Kitty K Mccracken
- Kyle Davis
- Liangyu Qian
- Matt Vick
- Mengdawn Cheng
- Nandhini Ashok
- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Peter Wang
- Ryan Dehoff
- Serena Chen
- Soydan Ozcan
- Steven J Zinkle
- Tim Graening Seibert
- Tomas Grejtak
- Tyler Smith
- Vandana Rallabandi
- 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.

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

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.