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Researcher
- Adam M Guss
- Rafal Wojda
- Prasad Kandula
- Andrzej Nycz
- Josh Michener
- Kuntal De
- Udaya C Kalluri
- Vandana Rallabandi
- Xiaohan Yang
- Alex Plotkowski
- Alex Walters
- Austin Carroll
- Biruk A Feyissa
- Carrie Eckert
- Chris Masuo
- Christopher Fancher
- Clay Leach
- Daniel Jacobson
- Debjani Pal
- Gerald Tuskan
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Joanna Tannous
- John F Cahill
- Kyle Davis
- Liangyu Qian
- Marcio Magri Kimpara
- Mostak Mohammad
- Omer Onar
- Paul Abraham
- Praveen Kumar
- Serena Chen
- Shajjad Chowdhury
- Subho Mukherjee
- Suman Debnath
- Vilmos Kertesz
- Vincent Paquit
- Yang Liu

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.

Misalignment issues of the PWPT system have been addressed. The intercell power transformer has been introduced in order to improve load sharing of the system during a mismatch of the primary single-phase coil and the secondary multi-phase coils.

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 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.

This technology identifies enzymatic routes to synthesize amide oligomers with defined sequence to improve polymerization of existing materials or enable polymerization of new materials. Polymers are generally composed of one (e.g. Nylon 6) or two (e.g.

The technologies described provides for the upcycling of mixed plastics to muonic acid and 3-hydroxyacids.

This invention is for bacterial strains that can utilize lignocellulose sugars. This will improve the efficiency of bioproduct formation in these strains and reduce the greenhouse-gas emission of an industrial bi