Researcher

Aakanksha Chowdhery

Also known as achowdhery

Aakanksha Chowdhery is an AI researcher who served as technical lead for Google's 540B PaLM model. She earned an electrical engineering degree at IIT Delhi in 2007, then an MS at Stanford in 2009, where she worked toward a PhD under John Cioffi. The Paul Baran Marconi Young Scholar Award honored her in 2012. Her other projects include PaLM-E and Gemini, and a Pathways paper she co-wrote won an MLSys 2022 Outstanding Paper Award. As of October 2026, she is an adjunct professor at Stanford, and at Reflection AI she works on agentic LLMs that leverage RL techniques.

Now at
Stanford University and Reflection AI
Works
56

Publication numbers from OpenAlex, as of 15 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Timeline

  1. 2007

    Electrical engineering at IIT Delhi

    The Indian Institute of Technology, Delhi grants her a B.Tech in electrical engineering in 2007.

  2. 2009

    Graduate study at Stanford

    At Stanford, she earns an MS in electrical engineering in 2009 and works toward a PhD under John Cioffi.

  3. 2012

    A Marconi Young Scholar award

    The Paul Baran Marconi Young Scholar Award honors her in 2012.

  4. 2022

    Technical lead on PaLM

    She serves as technical lead for Google's 540B PaLM model and co-writes the Google Research post that introduces it. The paper Pathways: Asynchronous Distributed Dataflow for ML, which she co-wrote, wins an Outstanding Paper Award at MLSys 2022.

  5. 2023

    Scaling transformer inference

    Efficiently scaling transformer inference, a paper she co-wrote, wins an Outstanding Paper Award at MLSys 2023.

  6. 2023

    A core contributor to PaLM-E

    She is a core contributor to PaLM-E, an embodied multimodal language model published at ICML 2023.

  7. December 2023

    Lead researcher on Gemini

    She serves as lead researcher on Gemini pre-training, scaling, and fine-tuning. The Gemini report appears as an arXiv preprint in December 2023.

  8. As of October 2026

    Agentic LLMs at Reflection AI

    She is an adjunct professor at Stanford and Program Chair for MLSys 2026. At Reflection AI she works on agentic LLMs that leverage RL techniques.

Sources and credits

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  1. Panel sharing the experience of past IEEE chairs - Microsoft Research microsoft.com. Checked 15 October 2026.
  2. Aakanksha Chowdhery achowdhery.com. Checked 15 October 2026.
  3. Aakanksha Chowdhery | TWIML - The Voice of Machine Learning & AI twimlai.com. Checked 15 October 2026.
  4. Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance research.google. Checked 15 October 2026.
  5. Aakanksha Chowdhery: Bio, Work & Ideas | AI Engineer ai.engineer. Checked 15 October 2026.