JIEDA LI

https://www.linkedin.com/in/jieda/ | 612-805-5828 | [email protected]

EDUCATION Northwestern University, Evanston, IL Expected: Dec 2020 Master of Science in Analytics (MSiA) Relevant Courses: Predictive Analytics, Machine Learning, Data Mining, Text Analytics, Big Data Southern Methodist University (SMU), Dallas, TX May 2010 Master of Science in Electrical Engineering (GPA: 3.85/4.0) University of Electronic Science and Technology of China (UESTC), Chengdu, China Jun 2007 Bachelor of Science in Electrical Engineering (GPA: 3.79/4.0, graduated with highest honor)

WORK EXPERIENCE Apple, Cupertino, CA May 2017 – May 2019 Hardware Engineer • Responsible for key circuit block validation for several generations of Apple SOC chip. • Authored Test automation software to perform automated test for Apple chip (Python, Git). • Processed raw test data into publishable results/visualizations (Pandas, Matplotlib, Seaborn). • Developed a deep learning model for integrated circuit performance prediction (Keras). • Presented a machine learning tutorial to fellow engineers (15-people group). • Contributed to team-effort in re-architecting test software and constructing data pipeline. • Received top performance reviews for work quality and effective team collaboration. Oracle, San Diego, CA. Oct 2010 – Jan 2017 Senior Hardware Engineer / Hardware Engineer / Engineer Intern • Responsible for high-speed electrical link system architecture design and validation. • Built system simulator for performance simulation and architecture optimization (MATLAB). • Built test automation software that measures performance of high-speed IO (LabView). • Granted with 1 U.S. patent and published 3 peer-reviewed technical papers. Southern Methodist University, Dallas, TX Aug 2007 – May 2010 Graduate Research Assistant • Designed, fabricated and characterized an innovative integrated photonic device. • Published/presented one paper at Optical Society of America (OSA) annual conference.

TECHNIAL SKILLS • Python, R, MATLAB, Java, SQL, C/C++, Git, Bash, Tableau, Spotfire, Microsoft Excel

PATENT & SELECTED PUBLICATIONS • U.S. Patent (US 20160301435 A1): Method for Duty Cycle Distortion Detection through Decision Feedback Equalizer Taps, Oct. 2016 • Mueller & Muller CDR Algorithm and Its Application in High Speed Serial Links, Xun Zhang, Jieda Li, et al., DesignCon, San Jose, 2016