Serena Pei

Research Assistant at MIT Schwarzman College of Computing

San Jose, California, United States

Overview

Serena Pei is a computer science student and researcher at MITs Computer Science and Artificial Intelligence Laboratory (CSAIL). She specializes in machine learning with applications in computer vision and NLP, and has industry experience as a software development engineer at Amazon. She also holds certifications in Generative AI.

Passionate about social impact, Serena has volunteered as a Director of Public Relations for Engage STEM, an organization providing free tutoring and resources to low-income students. She is interested in the relationship between computer science and social ethics, aiming to make STEM education more accessible.

Serena is a recipient of the Daily Point of Light Award for her volunteerism and commitment to improving education for underserved students.

Topics They Care About

AI in Medical Imaging
Authored research on using generative AI (Stable Diffusion) to synthesize brain MRI images, demonstrating a specific interest in applying advanced AI to healthcare challenges.
AI Ethics & Safety
Expresses a passion for AI safety and the intersection of computer science and social ethics, reflecting a focus on the responsible development of technology.
Human-Computer Interaction
Has co-authored multiple research papers on eye-based interaction, gaze estimation, and emotion recognition, indicating a deep interest in how humans and machines interact.

Media Appearances

Serena has no verified media appearances

Work History

8-2025
Research Assistant at MIT Schwarzman College of Computing
5-2025 - 8-2025
SDE at Amazon
5-2024 - 8-2024
Research Intern at A*STAR - Agency for Science, Technology and Research

Education

9-2022 - 5-2026
Bachelor of Science - BS from Massachusetts Institute of Technology
2018 - 2022
High School from Valley Christian Schools

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Exp : 1 Location : San Jose, California, United States Job Level : Junior Designation : Research Assistant at MIT Schwarzman College of Computing
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