Welcome to my homepage! Here, you'll learn about my skills, projects, and research interests. This page is constantly under constuction, so check back for updates!
>Third-year Computer Science student at Chapman University with a themed inquiry in Physics. I enjoy trying new things and learning.
>ML frameworks like PyTorch and TensorFlow, and strong knowledge in Python and libraries like NumPy, Pandas, MatPlotLib, and SciPy.
>Software Development in SCRUM, Agile. TDD in Maven & Junit and PyTest.
>Experience in C/C++, Java
>August 2024-Current: Undergraduate researcher at Chapman. I have been working on fairness in ML.
>June 2024-August 2024: I taught a high school course in Machine Learning and Python at Chapman.
>June 2024-July 2024: Pre-Intern at Ingram Micro.
Take a look at my projects! I've worked on interactive websites, machine learning, and more
A project I am working on with Chapman University Professor Alexander Kurz. We are focusing on finding an effective way to Decentralize Moderation, and implement it in our own Slack-based social media. We are currently seeking funding, see the proposal here.
A collaboration project with local company LayerJot to create an AI handwashing analyzer using Computer Vision and ML. Here on GitHub. (currently in construction) The project recently won Chapman University's GCI Showcase against 53 other teams. To read more about GCI and our project, check out Chapman News
A project that I worked on as a Pre-Intern at Ingram Micro. We created new UI/UX desgin features for the Ingram Micro XVantage platform. The prototype can be found on Figma
A personal project I created in High School to assist me with calculating fees for my Shoe Reselling business. Can be found here on GitHub.
Here at andrewbahsoun.com
Look around to experience the project. Try adding cubes and moving them around! Check out ThreeJS.
Coming soon...
Feel free to reach out if you are interested in starting a project!
My research is focused on reducing bias in healthcare ML models. We are specifially bias models for OUD or opioid use disorder.
These biases can affect marginalized groups by concluding that Black patients are healthier than equally sick White patients, falsly predicting heart disease probabilities, assigning black women a higher chance of having postpartum depression, and more. We plan on creating a custom model to reduce bias.
We are looking at work like FairEHR-CLP, which uses generative models to do contrastive learning on EHR data.
Here's a look into how I stay involved on Campus.
I volunteer for events and help spread awareness about anti-sexual assault initiatives across campus.
As a camp counselor, I assist with creating an inclusive and supportive environment for campers who have been affected by their parents cancer.
I organize events, advise students, and collaborate with the IFC team during fraternity recruitment.
I participate in coding challenges, hackathons, and other computer science-related activities at Chapman University.
I lead campus tours, sharing insights and information with prospective students and their families.
Click to view the gallery
Interested in working together? Contact me.
Email: bahsoun@chapman.edu
LinkedIn: Andrew Bahsoun
GitHub: andrewbahsoun
Instagram: @andrewbahsoun