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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
- Alexander I Wiechert
- Alex Walters
- Austin Carroll
- Benjamin Manard
- Brian Sanders
- Charles F Weber
- Chris Masuo
- Clay Leach
- Costas Tsouris
- Daniel Jacobson
- Dave Willis
- Debjani Pal
- Derek Dwyer
- Gerald Tuskan
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Joanna Mcfarlane
- Joanna Tannous
- John F Cahill
- Jonathan Willocks
- Kyle Davis
- Liangyu Qian
- Louise G Evans
- Luke Chapman
- Matt Vick
- Mengdawn Cheng
- Nandhini Ashok
- Paul Abraham
- Paula Cable-Dunlap
- Richard L. Reed
- Serena Chen
- Sydney Murray III
- Vandana Rallabandi
- Vasilis Tzoganis
- Vasiliy Morozov
- Vincent Paquit
- Yang Liu
- Yasemin Kaygusuz
- Yun Liu

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.

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

We presented a novel apparatus and method for laser beam position detection and pointing stabilization using analog position-sensitive diodes (PSDs).

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.

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

Pyrolysis evolved gas analysis – mass spectrometry (EGA-MS) and pyrolysis gas chromatography – MS (GC-MS) – are powerful analytical tools for polymer characterization.

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.