Cassie Kozyrkov - Top AI Leaders & Innovators | Profiles, Milestones & Projects - xix.ai
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Cassie Kozyrkov
Cassie Kozyrkov

Cassie Kozyrkov

Chief Decision Scientist, Google
Year of Birth  1985
Nationality  South African-American

Important milestone

2015 Google Analytics Role

Designed Google's analytics program

2019 Top Voice Recognition

Named LinkedIn's #1 Top Voice in Data Science

2020 AI Education Initiatives

Launched AI decision-making courses

AI product

The preview version of the Gemini 3 pro.

The official release version of the Gemini 2.5 pro.

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

The official release version of the Gemini 2.5 pro

Gemini 1.5 Pro introduces a breakthrough context window of up to two million tokens — the longest context window of any large scale foundation model yet. It achieves near-perfect recall on long-context retrieval tasks across modalities, unlocking the ability to accurately process large-scale documents, thousands of lines of code, hours of audio, video, and more.

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Gemini 2.5 Pro is a model released by Google DeepMind artificial intelligence research team, using version number Gemini-2.5-Pro-Preview-05-06.

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Gemini 2.0 Flash builds on the performance of Gemini 1.5 Flash, introducing multimodal input/output support (including images, video, audio, and text), along with real-time functionalities such as steerable text-to-speech and native image generation. The specific version being used is Gemini-2.0-Flash-001.

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Gemini 1.5 Pro introduces a breakthrough context window of up to two million tokens — the longest context window of any large scale foundation model yet. It achieves near-perfect recall on long-context retrieval tasks across modalities, unlocking the ability to accurately process large-scale documents, thousands of lines of code, hours of audio, video, and more.

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

The Gemini 2.0 Pro model demonstrates superior capabilities in coding performance and handling complex instructions compared to any previous models, with a more accurate and deeper understanding and reasoning of world knowledge. The version being used is Gemini-2.0-Pro-Exp-02-05.

Personal Profile

Promotes data-driven decision-making and AI education at Google

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