Emily Liu

I am a current Master’s of Engineering student in Computer Science at MIT, under the supervision of Dr. Caroline Uhler. I received my B.S. degrees in Computer Science and Mathematics from MIT in 2024.

I am passionate about developing algorithms to make machine learning models more interpretable and robust, particularly in robotics and life science applications. My work spans representation learning, causal inference, and neural network optimization, with a focus on creating models that generalize well under distributional shifts.

Through my projects, I have explored the tradeoffs between domain-specific priors and model flexibility, balancing performance, scalability, and interpretability. My goal is to bridge the gap between cutting-edge ML methods and practical, trustworthy applications.

Find an up-to-date version of my CV here.