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Researcher
- Diana E Hun
- Adam M Guss
- Philip Boudreaux
- Som Shrestha
- Srikanth Yoginath
- Tomonori Saito
- Andrzej Nycz
- Biruk A Feyissa
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- Josh Michener
- Kuntal De
- Mahabir Bhandari
- Nolan Hayes
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- Venugopal K Varma
- Vilmos Kertesz
- Xiaohan Yang
- Zoriana Demchuk
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- Ilenne Del Valle Kessra
- Isaiah Dishner
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- Jerry Parks
- Joanna Tannous
- Joel Asiamah
- Joel Dawson
- John F Cahill
- Karen Cortes Guzman
- Kuma Sumathipala
- Kyle Davis
- Liangyu Qian
- Mark M Root
- Mengjia Tang
- Nance Ericson
- Nandhini Ashok
- Natasha Ghezawi
- Pablo Moriano Salazar
- Paul Abraham
- Peeyush Nandwana
- Peter Wang
- Rangasayee Kannan
- Serena Chen
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Singanallur Venkatakrishnan
- Stephen M Killough
- Tomas Grejtak
- Varisara Tansakul
- Vincent Paquit
- Yang Liu
- Yasemin Kaygusuz
- Yiyu Wang
- Zhenglai Shen

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.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

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.

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

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.