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Nira Pandya

Nira Pandya is a member of the firm’s Technology and IP Transactions Practice Group based in Boston.

Nira advises clients on a broad range of complex commercial transactions and strategic collaborations involving technology, intellectual property, and data.

As part of the firm’s Digital Health Initiative, Nira advises pharmaceutical, medical device, healthcare, and technology companies on the intellectual property and commercial considerations in collaborations and other transactions at the intersection of life sciences and technology. Her experience spans AI-enabled drug discovery and other data and tech-driven collaborations. Nira also co-leads Covington’s quantum computing initiative.

Nira is focused on delivering practical, business-aligned legal guidance -- a key aspect of her approach developed during a secondment with a leading technology company. Earlier in her career, she advised startups and private/public companies on growth, funding, M&A, and other corporate matters, broadening her transactional perspective.

Watch: Nira provides insights on the Life Sciences Industry, as part of our Quantum Computing video series.

 

Contact:Read more about Nira PandyaEmail

Artificial Intelligence (“AI”) continues to command attention as today’s prominent technological asset, revolutionizing key markets and sectors. Simultaneously, discussions of another advanced technology known as quantum computing have gained traction. Because both technologies expand the universe of problems that can be tackled by computers, one might wonder, if we have AI, do we also need quantum computing technologies? In this article, we will discuss quantum computing and how it complements AI, including its ability to enhance AI models, and conversely, also explore AI’s ability to strengthen the power of quantum computing.Continue Reading Harnessing the complementary power of AI and Quantum Computing

Quantum computing uses quantum mechanics principles to solve certain complex mathematical problems faster than classical computers.  Whilst classical computers use binary “bits” to perform calculations, quantum computers use quantum bits (“qubits”).  The value of a bit can only be zero or one, whereas a qubit can exist as zero, one, or a combination of both states (a phenomenon known as superposition) allowing quantum computers to solve certain problems exponentially faster than classical computers.

The potential applications of quantum computing are wide-ranging and industry-agnostic. For instance, they could be used to enhance the analysis of large, complex data sets, optimize supply-chain processes, and enhance artificial intelligence (“AI”) technologies and improve machine learning algorithms.

Given the potential applications, quantum computing could have a significant impact on companies in the life sciences sector, and more specifically could be used to improve:Continue Reading Quantum Computing and its Impact on the Life Science Industry