Yingyezhe Jin (Jimmy)

Quantitative Researcher at Citadel Securities

Yingyezhe (Jimmy) Jin has a diverse work experience. Yingyezhe(Jimmy) started their career as an Intern Software Engineer at Cadence Design Systems in 2015, where they developed a power grid solver using C++ and implemented graph algorithms. Yingyezhe(Jimmy) then worked as a Technical Intern at Synopsys Inc in 2016, focusing on handling and analyzing circuit simulation data and improving the Verdi Performance Analyzer.

In 2017, Jimmy interned at Facebook as a Software Engineer, where they built a deep neuron network model to optimize the Ad delivery system. Yingyezhe(Jimmy) also incorporated ad-relevant signals into the model. The following year, they joined Facebook as a Research Scientist, leading the ML detection system to remediate bots and utilizing supervised models with hand-crafted features and behavior sequence-based RNN.

From 2013 to 2018, Jimmy worked as a Research Assistant at Texas A&M University, where they developed a parallel neuromorphic speech recognizer achieving high accuracy and speedup compared to the serialized version.

Lastly, in 2020, Jimmy joined Citadel Securities as a Quantitative Researcher.

Overall, Jimmy's work experience demonstrates their expertise and contributions in various areas such as computer science, machine learning, and research.

Yingyezhe Jin, known as Jimmy, has a diverse education background. Yingyezhe(Jimmy) obtained a Doctor of Philosophy (Ph.D.) degree in Computer Engineering from Texas A&M University, where they studied from 2013 to 2018. Prior to that, Jimmy completed their Bachelor of Engineering (BEng) in Electronic and Information Technology at Zhejiang University, where they studied from 2009 to 2013. Before embarking on their higher education journey, Jimmy attended Xiamen Shuangshi Middle School, although the specific dates are not provided.

In addition to their formal education, Jimmy also earned a certification from edX. In February 2023, they obtained the edX Verified Certificate for Bitcoin and Cryptocurrencies, which showcases their knowledge and expertise in this area.

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