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Researcher
- Adam M Guss
- Yong Chae Lim
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Hongbin Sun
- Josh Michener
- Kuntal De
- Prashant Jain
- Rangasayee Kannan
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Adam Stevens
- Alex Roschli
- Alex Walters
- Austin Carroll
- Brian Post
- Brian Sanders
- Bryan Lim
- Chris Masuo
- Clay Leach
- Daniel Jacobson
- Debjani Pal
- Erin Webb
- Evin Carter
- Gerald Tuskan
- Ian Greenquist
- Ilenne Del Valle Kessra
- Ilias Belharouak
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Jeremy Malmstead
- Jerry Parks
- Jiheon Jun
- Joanna Tannous
- John F Cahill
- Kitty K Mccracken
- Kyle Davis
- Liangyu Qian
- Mengdawn Cheng
- Nandhini Ashok
- Nate See
- Nithin Panicker
- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Peeyush Nandwana
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Priyanshi Agrawal
- Roger G Miller
- Ruhul Amin
- Ryan Dehoff
- Sarah Graham
- Serena Chen
- Soydan Ozcan
- Sudarsanam Babu
- Tomas Grejtak
- Tyler Smith
- Vincent Paquit
- Vishaldeep Sharma
- Vittorio Badalassi
- William Peter
- Xianhui Zhao
- Yang Liu
- Yasemin Kaygusuz
- Yiyu Wang
- Yukinori Yamamoto
- Zhili Feng

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 invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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.

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.

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.