Swaroop Mishra

I have been involved in the full development lifecycle of language models for several years, encompassing pre-training, post-training, data quality, human data collection, instruction following, reasoning capabilities, model architecture design, and agent development. Over the last 15 years, my research experience has spanned more than 10 industries and research institutions across various roles, including research scientist, software engineer, and technical consultant.

I am a Research Scientist at Google DeepMind (Ex-Google Brain), where I work on Gemini reasoning. I built a System that got some crucial points in the International Mathematical Olympiad (IMO) 2024 and critically contributed to our Silver Medal along with AlphaProof and AlphaGeometry. I also co-led reasoning research that contributed to various successful launches SOTA Gemini model including the popular Google IO 2024 launch. Most of my patented works at Google revolves around LLM Reasoning, Scaling, Post-Training, Self-Improvement and Inference.

My main research contributions (in the form of publicly available papers) are

I received the GDM Impact Award 2025 for my contribution to the silver medal achieving model in IMO 2024. I am also honored to be awarded the Odia Bhasa Samman 2025 (Odia Language Award 2025). I also got the ASU Dean’s Dissertation Award 2023 (1 in the school) and CEN-CS Outstanding Student Award 2023 (1 in the department) for my PhD Dissertation: "Towards Development of Models that Learn New Tasks from Instructions". The award video summarizes the contribution of my dissertation to ChatGPT and other LLMs. My work "Natural Instructions" received the AI2 "Lasting Impact Paper Award" after 3.5 years of the first publication date. I am a co-organizer of the MATH-AI workshop at NeurIPS 2022 and NeurIPS 2024.

[Selected Media Coverage]:

[Selected Panel Discussions and Invited Talks]:

  • NeurIPS 2024 Panel Discussion with Yoshua Bengio and group hosted by Zhijing Jin: Here is a Photo
  • MATH-AI workshop Panel at NeurIPS 2024 with Noam Brown, Dawn Song, Jeremy Avigad and Junehyuk Jung : Here is a Photo
  • ACL 2023 Panel Discussion with Sara Hooker, Danqi Chen
  • . Here is a Photo
  • Invited Talk at Allen AI [2021]
  • Invited Talk at IIT Kanpur [2021]
  • Invited Talk at University of Toronto [2022]
  • Invited Talk at Google Research [2022]
  • Invited Talk at Facebook AI Research (FAIR) [2022]
  • Invited Talk at Microsoft Research [2022]
  • Invited Talk at Stanford [2022]
  • Invited Talk at Intel [2023]
  • Invited Talk at IIT Kharagpur [2023]
  • Invited Talk at Oracle Research [2023]
  • Invited Talk at Silicon Bhubaneswar [2023] Photo
  • Invited Talk at MIT [2024]: Photo 1, 2
  • Invited Talk at IIT Mandi [2024]: Photo
  • Invited Talk at IIT Bhubaneswar [2024]
  • Invited Talk at KIIT Bhubaneswar [2024]
  • Invited Talk at Xavier Univeristy Bhubaneswar [2024]
  • Invited Talk at NIST Berhampur [2024] Photo
  • AAAI 2025 Panel Discussion
  • Invited Talk at NIT Silchar [2025] at the Neurathan

[Research Experience]:

2009-2012: Unified Theory in Physics, String Theory

  • 2011: (Library and Computer Center Access) Institute of Physics Bhubaneswar
  • 2012: (Research Intern) Harish-Chandra Research Institute, Prayagraj

2012-2014: Efficient Energy Conversion and Generation

  • 2013: (Research Intern): Research, Technology and Innovation Centre, Thermax, Pune
  • 2014: (Summer Intern): Intelligent Systems & Control Lab, IIT Kanpur

2014-2016: Neural Networks, Cyber Physical Systems, Smart Grid and Machine Learning

  • 2014-2016: Teaching Assistant, IIT Kanpur

2016-2018: Deep Learning Toolbox, Simulink, User-friendly Applications, Machine Learning App Development, Big Data

  • 2016-2018: Software Engineer, Control, Design and Automation Group at MathWorks

2018-2019: Deep Learning, Computer Vision, Agentic App Development, Resource Allocation

  • 2018-2019: Technical Consultant, Information Technology Research Academy, Ministry of Electronics and Information Technology, Government of India

2019-2023: Artificial Intelligence, Language Model, Natural Language Processing, Machine Learning, Instruction Tuning, Reasoning

  • 2019-2023: Research Assistant, Arizona State University
  • 2020-2022: Research Intern and Collaborator: Allen Institute for AI
  • 2022: Research Intern, Microsoft Research
  • 2022: Research Intern, Google Brain

2023-Now: Gemini, Superhuman Reasoning

  • 2023-Now: Research Scientist, Google Brain and later Google DeepMind

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