Ainesh Bakshi
· Assistant Professor of Computer Science and EngineeringNew York University · Computer Science
Active 2013–2024
About
Ainesh Bakshi is an Assistant Professor at NYU Tandon School of Engineering. He obtained his PhD in Computer Science from Carnegie Mellon University and previously served as a Postdoctoral Fellow jointly appointed in the Mathematics and Computer Science departments at MIT. His research broadly focuses on theoretical computer science and quantum information. His main research thread involves using the algorithmic toolkit, including iterative methods and convex hierarchies, to understand large quantum systems. His work has been covered in Quanta articles, presented in QIP Invited Plenaries, awarded a QIP Best Student Paper, and featured in Quanta Magazine’s 'Biggest Breakthroughs in Computer Science 2024.' Additionally, he is interested in extending this algorithmic toolkit and applying it to problems in high-dimensional statistics, privacy, metric embeddings, and numerical linear algebra.
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Awards & honors
- QIP Invited Plenaries
- QIP Best Student Paper
- featured in Quanta Magazine’s “Biggest Breakthroughs in Comp…
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