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Researcher
- Adam M Guss
- Ali Passian
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Josh Michener
- Kuntal De
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Alex Roschli
- Alex Walters
- Austin Carroll
- Brian Sanders
- Chris Masuo
- Claire Marvinney
- Clay Leach
- Daniel Jacobson
- Debjani Pal
- Erin Webb
- Evin Carter
- Gerald Tuskan
- Harper Jordan
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jason Jarnagin
- Jay D Huenemann
- Jeff Foster
- Jeremy Malmstead
- Jerry Parks
- Joanna Tannous
- Joel Asiamah
- Joel Dawson
- John F Cahill
- Kevin Spakes
- Kitty K Mccracken
- Kyle Davis
- Liangyu Qian
- Lilian V Swann
- Mark Provo II
- Mengdawn Cheng
- Nance Ericson
- Nandhini Ashok
- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Rob Root
- Sam Hollifield
- Serena Chen
- Soydan Ozcan
- Srikanth Yoginath
- Tyler Smith
- Varisara Tansakul
- Vincent Paquit
- Xianhui Zhao
- Yang Liu
- Yasemin Kaygusuz

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 ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

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.