Lilian Cheung

Lilian Cheung has a diverse work experience spanning several roles and industries. Lilian is currently a Principal Data Engineer at Recorded Future, where they have been since July 2022. Prior to this, they worked as a Senior Data Scientist at the same company from September 2021 to August 2022. Before that, they served as a Data Engineer II from May 2021 to October 2021, and as a Data Engineer from October 2019 to May 2021.

Prior to their time at Recorded Future, Lilian worked at Divert as a Junior Data Scientist from March 2018 to October 2019. Their work focused on reducing waste and promoting recycling in the food industry. Lilian developed a weight-detection signal processing algorithm using the random forest model, achieving over 90% accuracy in a live prototype.

Lilian also has experience as a Consulting Statistician at Research Schools International - Harvard University from December 2017 to August 2018. In this role, they worked on improving students' awareness of global issues and global competencies.

Lilian volunteered as a Statistical Consultant at Research Schools International - Harvard University from September 2016 to March 2017, supporting educational research on students' motivation, stress, and mindset. Lilian conducted data cleaning and exploration in Stata, as well as regression modeling and fixed and random effects modeling to analyze experimental data.

At NC State University, Lilian worked as a Statistical Consultant from August 2015 to March 2016. Lilian successfully completed statistical consulting projects in partnership with PhD students in the Psychology and Education departments. Their work included analyzing survey data using missing data analyses and hierarchical regressions, as well as conducting data analysis on educational data using SAS.

As a Volunteer Statistical Consultant at STATCOM, North Carolina State University, Lilian collaborated with a team to develop R code for a Ph.D. client's analysis. Lilian worked on this project from October 2015 to December 2015.

Lilian gained industry experience as an AALDP Intern at Travelers in the summer of 2014. Lilian analyzed consumer behavior based on demographic and behavioral data and used R and Excel to visualize market segment distribution and behavior.

During their time at the University of Connecticut's Department of Statistics, Lilian worked as a Research Assistant from September 2012 to May 2014. Lilian wrote an Honors Thesis and conducted research on modeling high-frequency data. Lilian also served as a Student Assistant for a brief period from May 2012 to August 2012.

Lilian Cheung has a strong educational background in statistics and mathematics. Lilian obtained their Bachelor of Science degree in Mathematics and Statistics, as well as Economics, from the University of Connecticut between 2010 and 2014. During their undergraduate studies, they also earned a Certificate in Quantitative Economics from the University of Connecticut's Department of Economics in May 2014.

Following their undergraduate studies, Lilian pursued further education and obtained a Master's degree in Statistics from North Carolina State University between 2014 and 2015. Their focus on statistics reflects their commitment to developing a deep understanding of quantitative methods and analysis.

In 2016, Lilian continued their educational journey by enrolling at the Johns Hopkins University School of Education. Although the specific degree and field of study are not provided, it demonstrates their interest in continued learning and potentially expanding their expertise in the field of education.

Overall, Lilian Cheung's academic history showcases a strong foundation in mathematics, statistics, and economics, with additional certifications in quantitative economics. Their pursuit of a Master's degree and enrollment at the Johns Hopkins University School of Education suggests a dedication to furthering their knowledge and skills in various aspects of quantitative analysis and education.