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Researcher
- Adam M Guss
- Amit Shyam
- Alex Plotkowski
- Sam Hollifield
- Andrzej Nycz
- Biruk A Feyissa
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- Xiaohan Yang
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- Emilio Piesciorovsky
- Eve Tsybina
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- Harper Jordan
- Ilenne Del Valle Kessra
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- Liangyu Qian
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- Louise G Evans
- Luke Koch
- Mahim Mathur
- Mark Provo II
- Mary A Adkisson
- Matt Larson
- Matt Vick
- Mengdawn Cheng
- Nance Ericson
- Nandhini Ashok
- Nicholas Richter
- Oscar Martinez
- Paul Abraham
- Paula Cable-Dunlap
- Peeyush Nandwana
- Peter Wang
- Rangasayee Kannan
- Raymond Borges Hink
- Richard L. Reed
- Rob Root
- Roger G Miller
- Samudra Dasgupta
- Sarah Graham
- Serena Chen
- Srikanth Yoginath
- Sudarsanam Babu
- Sunyong Kwon
- T Oesch
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- Viswadeep Lebakula
- William Peter
- Yang Liu
- Yarom Polsky
- Yasemin Kaygusuz
- Ying Yang
- Yukinori Yamamoto

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.

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.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

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

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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.

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 QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.