PeopleofSuperintelligence

Researcher

Siddhartha Mishra

Siddhartha Mishra works on scientific computing and machine learning for physical models. His documented AI work includes neural operators for solving differential equations. Mishra received the 2019 Collatz and Infosys prizes, the 2021 Dahlquist Prize and the 2023 ETH Rössler Prize. Mishra’s January 2024 seminar describes operator learning: learning mappings from equation inputs to solutions. It discusses representation-equivalent neural operators and a convolutional neural operator for PDE benchmarks. Mishra works in ETH’s Computational and Applied Mathematics laboratory and Department of Mathematics.

Works
3
Citations
0
h-index
0

Publication numbers from OpenAlex, as of 14 October 2026.

Photo of Siddhartha Mishra

Timeline

  1. 2019–2023

    Scientific-computing recognition

    Mishra received the 2019 Collatz and Infosys prizes, the 2021 Dahlquist Prize and the 2023 ETH Rössler Prize.

  2. 2024

    Learning solution operators

    Mishra’s January 2024 seminar describes operator learning: learning mappings from equation inputs to solutions. It discusses representation-equivalent neural operators and a convolutional neural operator for PDE benchmarks.

  3. As of October 2026

    Applied mathematics at ETH

    Mishra works in ETH’s Computational and Applied Mathematics laboratory and Department of Mathematics.

Sources and credits

Photo: Alessandro Della Bella, via Wikimedia Commons. License: CC BY-SA 4.0. Source: commons.wikimedia.org. Cropped to a square and resized. Ask us to remove or replace this photo.

  1. {Seminar} @ CDS: #102 : 05th January, 2024 : “Solving PDEs with Neural Operators”: cds.iisc.ac.in. Checked 13 October 2026.
  2. Members – Computational and Applied Mathematics Laboratory | ETH Zurich people.math.ethz.ch. Checked 13 October 2026.