Erica Weng

Erica Weng is a highly skilled professional with a rich academic background and diverse work experience in the fields of computer science, robotics, and machine learning.

She obtained a Bachelor of Science (BS) degree in Computer Science from the prestigious Massachusetts Institute of Technology (MIT) in 2020 and further pursued a Doctor of Philosophy (PhD) in Robotics ML at Carnegie Mellon University.

Having a profound love for understanding ideas thoroughly and effectively communicating them, Erica has demonstrated her expertise through various roles in academia and industry.

Her career includes positions such as a Ph.D. Research Assistant at Carnegie Mellon University, where she has been involved in cutting-edge research in robotics and machine learning.

Prior to her doctoral studies, Erica served as a Teaching Assistant for Introduction to Algorithms (6.006) at MIT, showcasing her dedication to helping students grasp complex concepts in computer science.

She also gained valuable industry experience as a Software Engineer at Citadel Securities, contributing her technical skills to the financial sector.

During her time at MIT, Erica worked as a Research Assistant in the Learning and Intelligent Systems group at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), delving into advanced topics in AI and machine learning.

Her proficiency in machine learning was further honed during her tenure as an ML Engineer at Pinterest, where she leveraged data and algorithms to drive innovations in the tech industry.