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Researcher
- Adam M Guss
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Josh Michener
- Kuntal De
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Alex Roschli
- Alex Walters
- Alice Perrin
- Austin Carroll
- Brian Sanders
- Chris Masuo
- Christopher Ledford
- Clay Leach
- Daniel Jacobson
- Debjani Pal
- Erin Webb
- Evin Carter
- Gerald Tuskan
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Jeremy Malmstead
- Jerry Parks
- Joanna Tannous
- John F Cahill
- Kitty K Mccracken
- Kyle Davis
- Liangyu Qian
- Mengdawn Cheng
- Michael Kirka
- Nandhini Ashok
- Oluwafemi Oyedeji
- Patxi Fernandez-Zelaia
- Paul Abraham
- Paula Cable-Dunlap
- Ryan Dehoff
- Serena Chen
- Soydan Ozcan
- Tyler Smith
- Vincent Paquit
- Xianhui Zhao
- Yan-Ru Lin
- Yang Liu
- Yasemin Kaygusuz
- Ying Yang

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.

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.

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.

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.

The technologies described provides for the upcycling of mixed plastics to muonic acid and 3-hydroxyacids.

This invention is for bacterial strains that can utilize lignocellulose sugars. This will improve the efficiency of bioproduct formation in these strains and reduce the greenhouse-gas emission of an industrial bi