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Researcher
- Srikanth Yoginath
- Andrzej Nycz
- Daniel Jacobson
- James J Nutaro
- Kuntal De
- Pratishtha Shukla
- Sudip Seal
- Udaya C Kalluri
- Alex Walters
- Ali Passian
- Biruk A Feyissa
- Bryan Lim
- Chris Masuo
- Clay Leach
- Debjani Pal
- Harper Jordan
- Joel Asiamah
- Joel Dawson
- Nance Ericson
- Pablo Moriano Salazar
- Peeyush Nandwana
- Rangasayee Kannan
- Tomas Grejtak
- Varisara Tansakul
- Vincent Paquit
- Xiaohan Yang
- Yiyu Wang

Mechanism-Based Trait Inference in Plants Using Multiplex Networks, AI Agents, and Translation Tools
This system enables the modular design and optimization of complex plant traits by organizing genes and regulatory mechanisms into interpretable clades.

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.

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.

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.

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

Due to a genes unique nucleotide sequences acquired through horizontal gene transfer, the gene has a transcriptional repressor activity and innate enzymatic role.

The invention provides a gene and methods for maintaining meiotic chromosomal architecture