Title: Quantitative Researcher
Company: Citadel LLC
Location: Chicago, Illinois, United States
Yuxun Zhou, PhD, Quantitative Researcher at Citadel LLC, has been recognized by Marquis Who’s Who Top Scientists for dedication, achievements, and leadership in machine learning and artificial intelligence.
Wanting to solve real-world problems through his work, Dr. Zhou is a quantitative researcher at Citadel LLC in Chicago since 2016, as well as a graduate student researcher in electrical engineering and computer sciences (EECS) at the University of California (UC) Berkeley since 2012. He began his professional career as an intern at the Electricity of France in Lille in 2011 and a research assistant at the ECP Lab of Applied Mathematics in Paris in 2012. He then served as a research associate at the Berkeley Education Alliance for Research in Singapore in 2015 before becoming a graduate student instructor in EECS at UC Berkeley from 2015 to 2016 and a data scientist intern at ASML Inc., in San Jose, California, in 2016. Prior to the start of his career, Dr. Zhou pursued a formal education at Xi’an Jiaotong University in China, earning a Bachelor of Science in Electrical Engineering in 2009. He then attended the École Centrale Paris, where he received a Diplôme d’Ingénieur in 2012. He went on to attain a DEng in electrical engineering and computer sciences at UC Berkeley in 2017.
A reviewer at numerous conferences in his field, Dr. Zhou maintains involvement with the American Association of Artificial Intelligence. In light of his achievements, he received First Prize at the Sixth National Advanced Mathematical Olympics in 2008 and the Eiffel Excellence Scholarship in 2009. A fellow of A&D SIMATICS in 2011, he was a Hu BaoSheng Honoree in 2012, and was given the Student Paper Award by the Pacific-Asia Conference on Knowledge Discovery and Data Mining in 2015. Moving forward, Dr. Zhou hopes to be finished with his book and to publish more papers.
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