Esha Gupta

Research interest

Master’s student in Computer Science with a background in Information Technology and nearly three years of industry experience as a software developer at Deloitte. Strongly interested in applying machine learning and data analytics to biological questions, and motivated to gain hands-on research experience as a student research assistant in disease map building project. Enthusiastic about learning new computational tools and methods for integrating, modeling and analyzing complex biological data.

Projects

Research Projects

APM: The Atlas of Pain Mechanisms
The Atlas of Pain Mechanisms (APM) is an interactive, multi-layered network-based pain resource that connects molecular mechanisms of pain signalling with clinical pain phenotypes across biological scales. Combining manually curated pathway maps with embedded clinical assessment tools and deployed on the MINERVA platform, APM provides a computable resource for the mechanistic exploration of pain in inflammatory disease, with knee osteoarthritis as the first use case.
 

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