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Researcher
- Isabelle Snyder
- Emilio Piesciorovsky
- Aaron Werth
- Aaron Wilson
- Adam Siekmann
- Ali Riza Ekti
- Daniel Jacobson
- Elizabeth Piersall
- Eve Tsybina
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- Subho Mukherjee
- Viswadeep Lebakula
- Vivek Sujan
- Xiaobing Liu
- Yarom Polsky

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.

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.

Moisture management accounts for over 40% of the energy used by buildings. As such development of energy efficient and resilient dehumidification technologies are critical to decarbonize the building energy sector.

Electrical utility substations are wired with intelligent electronic devices (IEDs), such as protective relays, power meters, and communication switches.

A novel system for validating intelligent electronic devices (IEDs) in power systems using real-time simulation, reducing costs by eliminating amplifiers.