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Researcher
- Andrzej Nycz
- Adam M Guss
- Chris Masuo
- Amit Shyam
- Peter Wang
- Alex Plotkowski
- Alex Walters
- Biruk A Feyissa
- Brian Gibson
- Carrie Eckert
- James A Haynes
- Josh Michener
- Joshua Vaughan
- Kuntal De
- Luke Meyer
- Sumit Bahl
- Udaya C Kalluri
- Vilmos Kertesz
- William Carter
- Xiaohan Yang
- Akash Jag Prasad
- Alice Perrin
- Andres Marquez Rossy
- Austin Carroll
- Brian Sanders
- Calen Kimmell
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Daniel Jacobson
- Debjani Pal
- Gerald Tuskan
- Gerry Knapp
- Gordon Robertson
- 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 Potter
- Jovid Rakhmonov
- Kyle Davis
- Liangyu Qian
- Nandhini Ashok
- Nicholas Richter
- Paul Abraham
- Peeyush Nandwana
- Riley Wallace
- Ritin Mathews
- Ryan Dehoff
- Serena Chen
- Sunyong Kwon
- Vincent Paquit
- Vladimir Orlyanchik
- Yang Liu
- Yasemin Kaygusuz
- Ying Yang

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.

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 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.

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.

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.