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Email: danqing.zhang.personal AT gmail

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Welcome to my homepage!

I am a Senior Applied Scientist at Amazon Ads, and I am skilled in formulating the machine learning problems and prototyping scalable solutions. Before that, I worked as Sr. Applied Research Scientist at Amazon Search ( QU team from 2018 to Sep, 2022. I received my PhD degree in Systems Engineering (Cyber-physical Systems) from University of California Berkeley, College of Engineering in May 2018, under supervision of Professor Alexei Pozdnoukhov. Before coming to Berkeley, I obtained my B.S. degree in Urban Science and secondary B.A. degree in Economics at Peking University in June 2014.

I am a Sr. Applied Scientist in natural language processing, information retrieval and recommendation systems with 8 years research and development experience, and 4 years industry experience. I have shipped four deep learning systems end-to-end into Amazon production system. I have published 10+ research papers on top venues including ACCV'2018, NAACL'2021, ACL'2021, CIKM'2021, EMNLP'2021, WWW'2022, NAACL'2022, KDD'2022 and KDD'2016/2018 & SIGIR'2020 workshops. I am the PC member/ reviewer for several top academic conferences including ECML-PKDD, AAAI, ICLR, CIKM, SIGIR, WSDM, ACL, NAACL, ARR (ACL Rolling Review), NeurIPS etc. My undergraduate & graduate training is on spatiotemporal modeling. I also have 10 years experience processing map & geospatial data and building geospatial models.

Expertise Experience
natural language processing, information extraction, text classification 2018 – Present
deep learning 2017 - Present
social network analysis, computational social science 2014 – Present
urban informatics, smart cities 2014 - Present
data science, data analytics 2013 - Present
location-based service (LBS), geodatabase, geoanalysis, remote sensing 2013 - 2014