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Researcher
- Vivek Sujan
- Adam M Guss
- Omer Onar
- Adam Siekmann
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Erdem Asa
- Hongbin Sun
- Josh Michener
- Kuntal De
- Prashant Jain
- Subho Mukherjee
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Alex Roschli
- Alex Walters
- Austin Carroll
- Brian Sanders
- Chris Masuo
- Clay Leach
- Daniel Jacobson
- Debjani Pal
- Erin Webb
- Evin Carter
- Gerald Tuskan
- Hyeonsup Lim
- Ian Greenquist
- Ilenne Del Valle Kessra
- Ilias Belharouak
- Isabelle Snyder
- 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
- Nandhini Ashok
- Nate See
- Nithin Panicker
- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ruhul Amin
- Serena Chen
- Shajjad Chowdhury
- Soydan Ozcan
- Tyler Smith
- Vincent Paquit
- Vishaldeep Sharma
- Vittorio Badalassi
- 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 growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

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.

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