Skip to content
View cierasimon's full-sized avatar

Block or report cierasimon

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
cierasimon/README.md

Welcome to Ciera's Profile!

👩🏽‍💻 About Me

🎓 Senior at Rutgers University - New Brunswick, studying Computer Science and Cognitive Science
🔭 Aspiring AI/ML Engineer and Data Scientist Passionate about Human-Centered Technology

I’m fascinated by the intersection of neurology, cognition, and computation. I strive to explore how intelligent systems can both learn from and support the complexity of the human mind. My work blends machine learning, data science, and cognitive modeling to create solutions that are not only technically advanced, but also ethical, inclusive, and aligned with real-world needs.

I recently finished my Data Science Co-op @ Regeneron, where I worked on a metabolic digital twin using TensorFlow to optimize cell culture processes. Currently, I’m a Break Through Tech AI Fellow @ Cornell Tech and partnered with Ford Motor Company's Latitude AI to work on vision-language models for autonomous driving. These experiences have sharpened my skills in neural networks, optimization, and applied data science, while reinforcing my commitment to building technology that respects human diversity.

🎯 Featured Project: PCOSmart - PCOS Symptom Analyzer

• AI-driven tool that helps predict PCOS based on health, demographics, and lifestyle
• What I Did: Designed a zero-shot classifier via feedforward neural network; integrated GPT-3.5 Turbo to provide structured, patient-centered risk insights.
• Tools: Flask, GPT-3.5-Turbo, Next.js, OpenAI API, Pandas, PyTorch, Scikit-learn
• Result: Developed a prototype with 89% accuracy demonstrating how LLMs can empower healthcare decision-making
• Checkout our win on Devpost! (https://devpost.com/software/pcosmart)

🛠 Tech Stack

• Languages: Python, Java, C, C++, SQL, PostgreSQL, JavaScript, HTML, CSS
• Data Science: Pandas, NumPy, Matplotlib, Seaborn
• AI/ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, sentence-transformers, scikit-learn, XGBoost
• Computer Vision & VLMs: CLIP, OpenCV
• Web / GUI Development: React, Flask, Django REST, Node.js
• Tools & Platforms: Git/GitHub, JupyterLab, VSCode, AWS, Dataiku, Conda

📫 How to Reach Me

• Email: [email protected]
• LinkedIn: linkedin.com/in/ciera-simon-65473b24b

Pinned Loading

  1. hackhers2025--PCOSmart hackhers2025--PCOSmart Public

    project: detecting reproductive health conditions

    Python