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Researcher
- Andrzej Nycz
- Adam M Guss
- Corson Cramer
- Steve Bullock
- Chris Masuo
- Peter Wang
- Alex Walters
- Greg Larsen
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- Trevor Aguirre
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- Kuntal De
- Luke Meyer
- Udaya C Kalluri
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- Vlastimil Kunc
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- Xiaohan Yang
- Ahmed Hassen
- Akash Jag Prasad
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- Debjani Pal
- Dustin Gilmer
- Gerald Tuskan
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- Ilenne Del Valle Kessra
- Isaiah Dishner
- J.R. R Matheson
- Jaydeep Karandikar
- Jay D Huenemann
- Jay Reynolds
- Jeff Brookins
- Jeff Foster
- Jerry Parks
- Jesse Heineman
- Joanna Tannous
- John F Cahill
- John Lindahl
- John Potter
- Jordan Wright
- Kyle Davis
- Liangyu Qian
- Michael Kirka
- Nadim Hmeidat
- Nandhini Ashok
- Paul Abraham
- Riley Wallace
- Ritin Mathews
- Sana Elyas
- Serena Chen
- Steven Guzorek
- Tomonori Saito
- Tony Beard
- Vincent Paquit
- Vladimir Orlyanchik
- 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 technologies provide additively manufactured thermal protection system.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

This invention focuses on improving the ceramic yield of preceramic polymers by tuning the crosslinking process that occurs during vat photopolymerization (VP).

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

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.

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.