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Researcher
- Adam M Guss
- Srikanth Yoginath
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Chad Steed
- Hongbin Sun
- James J Nutaro
- Josh Michener
- Junghoon Chae
- Kuntal De
- Prashant Jain
- Pratishtha Shukla
- Sudip Seal
- Travis Humble
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Alex Walters
- Ali Passian
- Austin Carroll
- Brian Sanders
- Bryan Lim
- Chris Masuo
- Clay Leach
- Daniel Jacobson
- Debjani Pal
- Gerald Tuskan
- Harper Jordan
- Ian Greenquist
- Ilenne Del Valle Kessra
- Ilias Belharouak
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Joanna Tannous
- Joel Asiamah
- Joel Dawson
- John F Cahill
- Kyle Davis
- Liangyu Qian
- Nance Ericson
- Nandhini Ashok
- Nate See
- Nithin Panicker
- Pablo Moriano Salazar
- Paul Abraham
- Peeyush Nandwana
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Rangasayee Kannan
- Ruhul Amin
- Samudra Dasgupta
- Serena Chen
- Tomas Grejtak
- Varisara Tansakul
- Vincent Paquit
- Vishaldeep Sharma
- Vittorio Badalassi
- Yang Liu
- Yasemin Kaygusuz
- Yiyu Wang

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 invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

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.

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