Summary
Sahand Sharifzadeh is a Research Scientist at Google DeepMind with eight years of experience advancing computer vision and machine learning, currently contributing to the Gemini project. He holds a summa cum laude PhD in Artificial Intelligence from Ludwig-Maximilians-Universität München and has a strong academic-to-industry trajectory spanning autonomous driving, medical image registration, and multimodal models (including work on Flamingo). Sahand advises a smart urban-gardening startup on algorithm design, demonstrating an appetite for applying ML to real-world products beyond core research. His background includes award-winning robotics work and GPU/CUDA teaching, reflecting both practical systems skills and deep theoretical rigor. Notably, he co-developed MutLX for clone-specific variant identification (published in eLife), showing an ability to translate research into impactful interdisciplinary results.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Summa cum laude - The highest distinction, Doctor of Philosophy - PhD, Artificial Intelligence, Summa cum laude - The highest distinction at Ludwig-Maximilians-Universität München
Master of Science (M.Sc.), Computer Science, Passed with Distinction, Master of Science (M.Sc.), Computer Science, Passed with Distinction at Technische Universität München
Bachelors, Computer Science, Bachelors, Computer Science at Shahid Beheshti University
English, Azerbaijani, Persian, Turkish, German, Arabic