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Researcher
- Adam M Guss
- Sam Hollifield
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Chad Steed
- Hongbin Sun
- Josh Michener
- Junghoon Chae
- Kuntal De
- Mingyan Li
- Prashant Jain
- Travis Humble
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Aaron Werth
- Alex Walters
- Ali Passian
- Austin Carroll
- Brian Sanders
- Brian Weber
- Chris Masuo
- Clay Leach
- Daniel Jacobson
- Debjani Pal
- Emilio Piesciorovsky
- Gary Hahn
- Gerald Tuskan
- Harper Jordan
- Ian Greenquist
- Ilenne Del Valle Kessra
- Ilias Belharouak
- Isaac Sikkema
- Isaiah Dishner
- Jason Jarnagin
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Joanna Tannous
- Joel Asiamah
- Joel Dawson
- John F Cahill
- Joseph Olatt
- Kevin Spakes
- Kunal Mondal
- Kyle Davis
- Liangyu Qian
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mark Provo II
- Mary A Adkisson
- Nance Ericson
- Nandhini Ashok
- Nate See
- Nithin Panicker
- Oscar Martinez
- Paul Abraham
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Raymond Borges Hink
- Rob Root
- Ruhul Amin
- Samudra Dasgupta
- Serena Chen
- Srikanth Yoginath
- T Oesch
- Varisara Tansakul
- Vincent Paquit
- Vishaldeep Sharma
- Vittorio Badalassi
- Yang Liu
- Yarom Polsky
- 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 ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

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 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.

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

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

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.