Jin Xie

Jin Xie

Data Scientist @ Kite Pharma

About Jin Xie

Jin Xie is a Data Scientist with extensive experience in machine learning and statistical analysis. He has worked at various organizations, including Kite Pharma, AiTmed, and the University of Kentucky, and holds a Ph.D. in Statistics.

Work at Kite Pharma

Currently, Jin Xie serves as a Data Scientist at Kite Pharma, a position held since 2021. In this role, Xie focuses on implementing advanced machine learning models, including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) networks, and Natural Language Processing (NLP) techniques. Prior to this role, Xie worked at Kite Pharma as a Statistician from 2018 to 2020, contributing to data analysis and statistical modeling efforts within the organization.

Education and Expertise

Jin Xie holds a Doctor of Philosophy (Ph.D.) in Statistics from the University of Kentucky, where studies were completed from 2015 to 2018. Prior to this, Xie earned a Master's Degree in Statistics from the same institution, studying from 2013 to 2015. Xie also possesses a Bachelor's Degree in Mathematics and Statistics from Nanjing University, obtained from 2008 to 2012. Xie's expertise includes advanced machine learning techniques such as Gradient Boosting Trees, Random Forest, and Support Vector Machines (SVM), as well as practical programming skills for effective data analysis.

Previous Work Experience

Before joining Kite Pharma, Jin Xie worked as a Lead Data Scientist at AiTmed from 2020 to 2021, where Xie led data science initiatives. Xie also served as a Senior Statistical Consultant/Data Analyst at the University of Kentucky from 2015 to 2018, providing statistical guidance and analysis. Additionally, Xie gained experience as a Data Scientist Intern at CDK Global in 2017 for two months, where Xie contributed to data-driven projects.

Technical Skills

Jin Xie specializes in implementing machine learning models into practical applications. Xie's technical skill set includes advanced machine learning techniques such as CNN, RNN, LSTM, and NLP. Xie has a strong foundation in statistical theory, which complements practical programming skills, enabling effective data analysis and model development. This combination of skills supports Xie's contributions to data science projects at Kite Pharma and previous roles.

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