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Researcher
- Vivek Sujan
- Diana E Hun
- Adam M Guss
- Philip Boudreaux
- Som Shrestha
- Omer Onar
- Tomonori Saito
- Adam Siekmann
- Andrzej Nycz
- Biruk A Feyissa
- Bryan Maldonado Puente
- Carrie Eckert
- Erdem Asa
- Josh Michener
- Kuntal De
- Mahabir Bhandari
- Nolan Hayes
- Subho Mukherjee
- Udaya C Kalluri
- Venugopal K Varma
- Vilmos Kertesz
- Xiaohan Yang
- Zoriana Demchuk
- Achutha Tamraparni
- Adam Aaron
- Alex Walters
- Austin Carroll
- Brian Sanders
- Catalin Gainaru
- Charles D Ottinger
- Chris Masuo
- Clay Leach
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- Debjani Pal
- Gerald Tuskan
- Gina Accawi
- Gurneesh Jatana
- Hyeonsup Lim
- Ilenne Del Valle Kessra
- Isabelle Snyder
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Joanna Tannous
- John F Cahill
- Karen Cortes Guzman
- Kuma Sumathipala
- Kyle Davis
- Liangyu Qian
- Mark M Root
- Mengjia Tang
- Nandhini Ashok
- Natasha Ghezawi
- Paul Abraham
- Peter Wang
- Serena Chen
- Shajjad Chowdhury
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Singanallur Venkatakrishnan
- Stephen M Killough
- Vincent Paquit
- Yang Liu
- Yasemin Kaygusuz
- 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.

The growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

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.

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.