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Researcher
- Vivek Sujan
- Adam M Guss
- Omer Onar
- Venugopal K Varma
- Adam Siekmann
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Erdem Asa
- Josh Michener
- Kuntal De
- Mahabir Bhandari
- Subho Mukherjee
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Adam Aaron
- Alex Walters
- Austin Carroll
- Brian Sanders
- Charles D Ottinger
- Chris Masuo
- Clay Leach
- Daniel Jacobson
- Debjani Pal
- Gerald Tuskan
- Govindarajan Muralidharan
- Hyeonsup Lim
- Ilenne Del Valle Kessra
- Isabelle Snyder
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Joanna Tannous
- John F Cahill
- Kyle Davis
- Liangyu Qian
- Nandhini Ashok
- Paul Abraham
- Rose Montgomery
- Serena Chen
- Sergey Smolentsev
- Shajjad Chowdhury
- Steven J Zinkle
- Thomas R Muth
- Vincent Paquit
- Yang Liu
- Yanli Wang
- Yasemin Kaygusuz
- Ying Yang
- 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.

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.

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

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.

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.