Scholar
Sasan Tavakkol
Google Scholar ID: l9uC2D0AAAAJ
Google Research
Citations & Impact
Citations
6,536
H-index
12
i10-index
15
Publications
20
Co-authors
19
list available
Publications
Resume (English only)
Academic Achievements
- Selected publications include 'Gemini: a family of highly capable multimodal models' (2023); Developed Celeris, an open-source software during his PhD research, which has democratized high-performance computing in coastal engineering, used by thousands of researchers and engineers across over 50 countries.
Research Experience
- Senior Software Engineer at Google AI (2018 - Present): Leading the Contextual Sampling team, developing and applying graph-based techniques to projects like Gemini; Founder of Celeria Labs, LLC (2020 - Present): Specializing in computational hydrodynamics; Software Engineering Intern at Niantic, Inc. (Summer 2018): Contributed to the launch of Ingress Prime; Software Engineering Intern at Google (Winter 2018 / Summer 2017): Contributed to the launch of Code Jam 2018 competition and worked on scaling up ad quality measurement tools for the Brand Lift team.
Education
- PhD in Computational Hydrodynamics from the University of Southern California, 2018, advisors: Patrick Lynett, Cyrus Shahabi; MS in Computer Science from the University of Southern California, 2016; MS in Computational Hydraulics from Amirkabir University of Technology (Tehran Polytechnic), 2013; BS in Civil Engineering from Amirkabir University of Technology (Tehran Polytechnic), 2010.
Background
- A computer scientist working on graph algorithms and machine learning. He is a Senior Software Engineer at Google Research, leading the Contextual Sampling team, focusing on developing highly scalable graph algorithms and techniques that are crucial for optimizing products like Google Search, YouTube, AdWords, Play, and Maps. A significant part of his recent focus has been on data curation for Google's Gemini.
Miscellany
- Available to discuss data curation and RAG for LLMs and AI more broadly.
