- 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: [email protected]
- 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 137 commits βββββββββββββββββββββββββ 12.33 %
π Daytime 478 commits βββββββββββββββββββββββββ 43.02 %
π Evening 347 commits βββββββββββββββββββββββββ 31.23 %
π Night 149 commits βββββββββββββββββββββββββ 13.41 %
π I'm Most Productive on Tuesday
Monday 182 commits βββββββββββββββββββββββββ 16.38 %
Tuesday 246 commits βββββββββββββββββββββββββ 22.14 %
Wednesday 209 commits βββββββββββββββββββββββββ 18.81 %
Thursday 88 commits βββββββββββββββββββββββββ 07.92 %
Friday 178 commits βββββββββββββββββββββββββ 16.02 %
Saturday 110 commits βββββββββββββββββββββββββ 09.90 %
Sunday 98 commits βββββββββββββββββββββββββ 08.82 %
π This Week I Spent My Time On
ποΈ Time Zone: America/Atikokan
π¬ Programming Languages:
C 10 hrs 27 mins βββββββββββββββββββββββββ 53.16 %
Python 7 hrs 23 mins βββββββββββββββββββββββββ 37.62 %
Markdown 1 hr 43 mins βββββββββββββββββββββββββ 08.81 %
Bash 2 mins βββββββββββββββββββββββββ 00.18 %
TOML 1 min βββββββββββββββββββββββββ 00.14 %
π₯ Editors:
VS Code 18 hrs 36 mins βββββββββββββββββββββββββ 94.60 %
Copilot CLI 42 mins βββββββββββββββββββββββββ 03.63 %
Obsidian 20 mins βββββββββββββββββββββββββ 01.77 %
π» Operating System:
Linux 19 hrs 39 mins βββββββββββββββββββββββββ 100.00 %
I Mostly Code in Python
Python 21 repos βββββββββββββββββββββββββ 24.14 %
TypeScript 11 repos βββββββββββββββββββββββββ 12.64 %
C 6 repos βββββββββββββββββββββββββ 06.90 %
C++ 3 repos βββββββββββββββββββββββββ 03.45 %
Rust 2 repos βββββββββββββββββββββββββ 02.30 %
Last Updated on 18/10/2026 21:01:47 UTC
Academic
Languages officially learned in the classroom, typically in the context of another field.
Other
Other technologies and disciplines learned along the way.



