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Sammy M

- Research Program Mentor

MS candidate at Stanford University

Expertise

Artificial intelligence, systems, software design, digital humanities

Bio

Hey, good to meet you! My name is Sammy Mohammed, a graduate student in CS at Stanford and Google software engineer. I'm passionate about working in artificial intelligence and on software that impacts people. This trend led to me teaching at Stanford as an undergraduate, working on marriagepact.com to match over 60,000 people, and finally to Google. I've done AI research on color recognition, sports modeling, and wrote a digital humanities paper about the links between alt-right mobilization and Gamergate in the last decade. On a personal level, you can find me in the Bay going to concerts, cooking, and playing League and TFT with my friends! I really enjoy cooking and trying new foods, discovering new albums, and pushing for new ranks in TFT. Can't wait to meet you!

Project ideas

Project ideas are meant to help inspire student thinking about their own project. Students are in the driver seat of their research and are free to use any or none of the ideas shared by their mentors.

Evaluating Correlation Between Twitter Sentiment on Cryptocurrency Value

In this project, we will perform sentiment analysis on a dataset of tweets under the topic "Cryptocurrency" and a dataset of Ethereum value over 2019-2022. After performing sentiment analysis, we will perform a regression between sentiment and value, to see if public sentiment can be used as a predictor for rapid rises or falls in value.

Political Polarization in American Media, 1970-2020

In this project, we will use digital humanities techniques to examine a corpus of American newspapers, particularly the editorial sections. Using tools like PCA, we will examine trends across decades to help inform us if media is more polarizing today, and note specific eras where polarization increased.

Analyzing gender bias in natural language processing models

In this project, we will analyze GPT-3 models when asked about men and women, noting specific correlations to help evaluate the level of gender bias in the model.

Coding skills

Python, C, C++

Teaching experience

I was a CS section leader at Stanford for three years; I taught weekly discussion sessions to over 50 students, and offered 1-on-1 guidance during both office hours and interactive grading sessions. Comfortable teaching and mentoring students computer science at all levels, from introductory levels to upper division undergraduate.

Credentials

Work experience

Google (2022 - Current)
Software Engineer
Google (2021 - 2021)
Software Engineer Intern
Stanford University (2019 - Current)
CS106 Section Leader, CS110 Course Assistant
Meta (2020 - 2021)
Software Engineer Intern

Education

Stanford University
BS Bachelor of Science
Computer Science - Artificial Intelligence
Stanford University
MS Master of Science candidate
Computer Science - Systems

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