- β‘ Fun fact: I'm currently a third-year CMU undergrad pursuing a major in Computational Biology and Computer Science.
- π Iβm currently conducting independent research on autoimmune diseases, transcription factors, and drug targeting using AI.
- π± 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)!
- π― Iβd love to collaborate on anything CB/CS-related! Shoot me an email if you are interested in collaborating on any upcoming projects/hackathons/competitions.
- π¬ Ask me about anything NodeJS and I will probably talk your ear off :D
- π« How to reach me:
- School: sarahcross@cmu.edu
- π Pronouns: she/her
- 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
I'm an Early π€
π Morning 125 commits βββββββββββββββββββββββββ 11.57 %
π Daytime 464 commits βββββββββββββββββββββββββ 42.96 %
π Evening 342 commits βββββββββββββββββββββββββ 31.67 %
π Night 149 commits βββββββββββββββββββββββββ 13.80 %
π I'm Most Productive on Tuesday
Monday 182 commits βββββββββββββββββββββββββ 16.85 %
Tuesday 230 commits βββββββββββββββββββββββββ 21.30 %
Wednesday 206 commits βββββββββββββββββββββββββ 19.07 %
Thursday 88 commits βββββββββββββββββββββββββ 08.15 %
Friday 175 commits βββββββββββββββββββββββββ 16.20 %
Saturday 109 commits βββββββββββββββββββββββββ 10.09 %
Sunday 90 commits βββββββββββββββββββββββββ 08.33 %
π This Week I Spent My Time On
ποΈ Time Zone: America/Atikokan
π¬ Programming Languages:
Markdown 6 hrs 11 mins βββββββββββββββββββββββββ 46.33 %
Python 2 hrs 12 mins βββββββββββββββββββββββββ 16.52 %
Standard ML 1 hr 9 mins βββββββββββββββββββββββββ 08.65 %
C 1 hr 6 mins βββββββββββββββββββββββββ 08.25 %
Text 58 mins βββββββββββββββββββββββββ 07.30 %
π₯ Editors:
Obsidian 6 hrs 28 mins βββββββββββββββββββββββββ 48.51 %
VS Code 4 hrs 17 mins βββββββββββββββββββββββββ 32.16 %
Zed 2 hrs 35 mins βββββββββββββββββββββββββ 19.34 %
π» Operating System:
Linux 13 hrs 21 mins βββββββββββββββββββββββββ 100.00 %
I Mostly Code in Python
Python 20 repos βββββββββββββββββββββββββ 23.26 %
TypeScript 11 repos βββββββββββββββββββββββββ 12.79 %
C 6 repos βββββββββββββββββββββββββ 06.98 %
C++ 3 repos βββββββββββββββββββββββββ 03.49 %
Rust 2 repos βββββββββββββββββββββββββ 02.33 %
Last Updated on 06/10/2026 22:48:27 UTC
Academic
Languages officially learned in the classroom, typically in the context of another field.
Other
Other technologies and disciplines learned along the way.



