Lin Liu (Ganlin)

Lin (Ganlin) Liu has a diverse work experience spanning several industries and roles. Since August 2021, they have been working as an Associate in Global Stock Selection Quantitative Research Development at AQR Capital Management. Prior to this, from March 2020 to August 2021, Lin worked at Deutsche Bank as an Associate in Software Engineering, specifically focusing on Machine Learning. They also worked as a Business Data Analyst from April 2019 to March 2020 and as a Project Management Oversight for Cash Management in the Corporate Bank from September 2018 to March 2020. Furthermore, Lin worked as a Business Analyst from March 2018 to August 2018 and from July 2017 to February 2018, both at Deutsche Bank. Additionally, Lin gained experience as a Technology Analyst Intern at Deutsche Bank from June 2016 to August 2016. Before that, they worked as a Database Developer Intern at JIECANG LINEAR MOTION in August 2015. Lastly, Lin started their professional journey as a Peer Tutor at the Carnegie Mellon University Academic Development from August 2014 to May 2017.

Lin (Ganlin) Liu completed their high school education at The Seven Hills School from 2011 to 2013. They then went on to attend Carnegie Mellon University from 2013 to 2017, where they earned a Bachelor of Science degree in Math (Operations Research and Statistics), with minors in Computer Science and Computational Finance.

In terms of additional certifications, Lin obtained the following:

- Applied Data Science II: Machine Learning & Statistical Analysis (with honors) from WorldQuant University in March 2022

- Applied Data Science II: Machine Learning & Statistical Analysis (with honors) from WorldQuant University in March 2022

- Applied Data Science I: Scientific Computing & Python (with honors) from WorldQuant University in June 2021

- ML Data Analyst certification from WorkFusion in January 2021

- DataRobot Essentials Certification from DataRobot in March 2020

- Level 2 Advanced Tutor Certification from the College of Reading and Learning Association (specific month and year not provided)