Hi there, I'm Sarah!

• ⚡ Fun fact: I'm currently a third-year CMU undergrad pursuing a major in Computational Biology and Computer Science.
• 🔭 I’m currently conducting independent research on autoimmune diseases, transcription factors, and drug targeting using AI.
• 🌱 I also enjoy teaching! Previously worked as a TA for Foundations of Software Engineering (17-313), and co-taught Introduction to Web Development (98-506)!
• 👯 I’d love to collaborate on anything CB/CS-related! Shoot me an email if you are interested in collaborating on any upcoming projects/hackathons/competitions.
• 💬 Ask me about anything NodeJS and I will probably talk your ear off :D
• 📫 How to reach me:
  • School: sarahcross@cmu.edu
• 😄 Pronouns: she/her

Recent Projects

• Bias Insight (H4H 25 winner - Tech Track) - Created a Chrome extension and dashboard to summarize websites browsed using ML models (political leaning, emotion, and sentiment analysis), to give users a better understanding of how the content they consume affects how they interact with differing viewpoints both online and offline. Presented work at Governor's Residence to Lori Shapiro and key policymakers in PA.
• MAS Mechanism Analysis (paper here) (02-251 Final Project) - Identified transcription factors (TFs) that bind locations associated with type II and III MAS (multiple autoimmune syndrome) diseases, then cross-referenced with corresponding gene expression levels. All genes identified (ex. POLR2A and IFN2) were associated with inflammatory pathways and provide insight into understanding why these genes have modulated expression in those with MAS.
• OptoPulse AI (TartanHacks 24 top 15) - An all-in-one AI platform designed to evaluate and analyze optometric information, such as elevated dry eye risk and basic vision tests.
• Single Cell Perturbation Analysis (21-241 Final Project) - Analyzed single cell drug-induced perturbations using Principal Component Analysis!
• Lupus Diagnosis (ISEF 23) - Model predicts lupus using gene expression profiles and AI with 99.13% testing accuracy (the gene the model determined as the 2nd most important in prediction, a year later, made headlines for being associated with female propensity to autoimmune diseases!).
• Camera Management Platform (NAB, ISE, NAMM) - Control your PTZOptics cameras through one convenient desktop application! Includes:
  • PTZ camera control
  • Auto-tracking for any G2 PTZOptics camera
  • Advanced color correction
  • Web API allows easy integration with other products (OBS, vMix, StreamDeck, etc)
  • In-app documentation and guides

GitHub Stats

I'm an Early 🐤

🌞 Morning                115 commits         ███░░░░░░░░░░░░░░░░░░░░░░   11.71 % 
🌆 Daytime                421 commits         ███████████░░░░░░░░░░░░░░   42.87 % 
🌃 Evening                310 commits         ████████░░░░░░░░░░░░░░░░░   31.57 % 
🌙 Night                  136 commits         ███░░░░░░░░░░░░░░░░░░░░░░   13.85 % 

📅 I'm Most Productive on Tuesday

Monday                   166 commits         ████░░░░░░░░░░░░░░░░░░░░░   16.90 % 
Tuesday                  200 commits         █████░░░░░░░░░░░░░░░░░░░░   20.37 % 
Wednesday                183 commits         █████░░░░░░░░░░░░░░░░░░░░   18.64 % 
Thursday                 81 commits          ██░░░░░░░░░░░░░░░░░░░░░░░   08.25 % 
Friday                   167 commits         ████░░░░░░░░░░░░░░░░░░░░░   17.01 % 
Saturday                 101 commits         ███░░░░░░░░░░░░░░░░░░░░░░   10.29 % 
Sunday                   84 commits          ██░░░░░░░░░░░░░░░░░░░░░░░   08.55 % 

📊 This Week I Spent My Time On

🕑︎ Time Zone: America/Atikokan

💬 Programming Languages: 
Standard ML              11 hrs 5 mins       ███████████░░░░░░░░░░░░░░   44.53 % 
Rust                     3 hrs 43 mins       ████░░░░░░░░░░░░░░░░░░░░░   14.95 % 
C                        2 hrs 40 mins       ███░░░░░░░░░░░░░░░░░░░░░░   10.74 % 
YAML                     1 hr 49 mins        ██░░░░░░░░░░░░░░░░░░░░░░░   07.32 % 
JavaScript               1 hr 44 mins        ██░░░░░░░░░░░░░░░░░░░░░░░   07.02 % 

🔥 Editors: 
VS Code                  23 hrs 6 mins       ███████████████████████░░   92.74 % 
Claude Code              1 hr 17 mins        █░░░░░░░░░░░░░░░░░░░░░░░░   05.20 % 
Obsidian                 22 mins             ░░░░░░░░░░░░░░░░░░░░░░░░░   01.50 % 
Zed                      8 mins              ░░░░░░░░░░░░░░░░░░░░░░░░░   00.55 % 

💻 Operating System: 
Linux                    24 hrs 55 mins      █████████████████████████   100.00 % 

I Mostly Code in JavaScript

Python                   18 repos            █████░░░░░░░░░░░░░░░░░░░░   21.95 % 
TypeScript               11 repos            ███░░░░░░░░░░░░░░░░░░░░░░   13.41 % 
C++                      3 repos             █░░░░░░░░░░░░░░░░░░░░░░░░   03.66 % 
Rust                     2 repos             █░░░░░░░░░░░░░░░░░░░░░░░░   02.44 % 
Java                     1 repo              ░░░░░░░░░░░░░░░░░░░░░░░░░   01.22 % 

Last Updated on 08/09/2026 21:24:03 UTC

Technologies

Web + App Development

ML/AI Development

Academic
Languages officially learned in the classroom, typically in the context of another field.

Other
Other technologies and disciplines learned along the way.

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