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Qing Chang
Houston, Texas,United States
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Find Qing Chang's PhoneWho Is Qing Chang?
Qing Chang is an accomplished and innovative research scientist with over 12 years of experience specializing in artificial intelligence, machine learning, and computational linguistics. Currently based in Cambridge, MA, Qing is deeply involved in developing novel algorithms for natural language processing and understanding, with a focus on cross-lingual applications and ethical AI development. Qing has a strong track record of leading research projects from ideation through to publication and practical implementation, often collaborating with multidisciplinary teams. Known for a meticulous approach and a passion for solving complex challenges, Qing is dedicated to advancing the frontiers of AI to create impactful and equitable technological solutions. Qing is also an advocate for diversity in STEM and mentors early-career researchers.
How Did Qing Chang's Career Path Shape Their Journey?
Qing Chang's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
What Are Qing Chang's Key Achievements?
Lead Researcher on Project 'LinguaBridge'
Led a cross-functional team of 8 researchers and engineers to develop 'LinguaBridge,' a novel deep learning model that achieved state-of-the-art performance in low-resource machine translation, significantly improving translation quality for underrepresented languages. The project's findings were published in a top-tier AI conference.
AI Innovation Award 2022
Received the prestigious 'AI Innovation Award' from the [Fictional Tech Institute/Company] for pioneering work in unsupervised learning techniques for semantic understanding, leading to a patented technology.
Publication in 'Nature Machine Intelligence'
Co-authored a highly cited paper titled 'Ethical Frameworks for Autonomous AI Systems' published in 'Nature Machine Intelligence', contributing significantly to the discourse on responsible AI development.
Keynote Speaker at International AI Summit 2023
Delivered a keynote address on 'The Future of Human-AI Collaboration' at the International AI Summit, sharing insights with over 2,000 industry professionals and academics.
What's Qing Chang's Educational Background?
Master's degree, Management in Oil & Gas
Heriot-Watt University - Year 2011
BSc, Electrical Engineering
Shanghai Jiao Tong University - Year 1997
Buying Intent Signals for Qing Chang
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Company Overview
SLBSLB (formerly Schlumberger) is a global technology company, driving energy innovation for a balanced planet. With a global footprint in more than 100 countries and employees representing almost twice as many nationalities, SLB works to unlock access to energy for the benefit of all. The company focuses on decarbonizing oil and gas, developing scalable new energy technologies, and pioneering digital solutions at scale to accelerate the energy transition.
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