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Staff Research Scientist at Google DeepMind
Staff Research Scientist at Google DeepMind GenAI Unit, working on Gemini. Previously at Google Research democratizing advanced ranking and retrieval techniques across Google. Ph.D. in machine learning. I specialize in the union of Large Language Models and Information Retrieval techniques, and am the inventor of several driving forces in related domains (PRP, RankT5, LiPO, DSI). Applied machine learning research: 50+ publications in diverse top AI venues, including 1st author papers in PAMI, TIP, ICLR, NeurIPS, NAACL, COLM, UAI, CVPR, KDD, WWW, RecSys. Other papers in ICML, WSDM, ACL, EMNLP, SIGIR, AISTATS, AAAI. (https://scholar.google.com/citations?user=Kv1yk3YAAAAJ&hl=en) Industrial machine learning across Google products. My work has been transferred to Google.com, Youtube, GSuite (Gmail, Drive, Calendar), Ads, Play Store, Chrome Web Store, Google Cloud AI, and Google Assistant. Recipient of Google Research Tech Impact Award. Major professional activities: (Senior) Program committee of all major ML/IR venues: ICLR, ICML, NeurIPS, KDD, WWW, WSDM, ACL/NAACL/EMNLP, COLM, SIGIR, AAAI, CIKM.
University of California, Riverside
Doctor of Philosophy (Ph.D.), Computer Science
N/A – Present
Beijing University of Posts and Telecommunications
B.E., Information Engineering
N/A – Present
Google DeepMind
Staff Research Scientist
January 1, 2017 – Present
New York, United States
Cultural Fit Analysis
The candidate's background at Google DeepMind and extensive research contributions indicate a strong fit for an innovative, research-driven culture. The breadth of their work across various Google products suggests adaptability and a collaborative mindset. However, the target role of 'Data Analyst' is a significant pivot from a 'Staff Research Scientist' role, which might indicate a potential mismatch in day-to-day responsibilities and expectations, potentially impacting cultural fit for a purely analytical role without a strong research component.
Soft Skills & Operational Fit
The candidate's extensive experience in leading research teams and mentoring interns suggests strong leadership, collaboration, and communication skills. The volume of publications indicates a high degree of self-motivation and ability to drive projects to completion. However, specific operational fit for a Data Analyst role is not directly evident from the provided data, as the experience is heavily research-focused.