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+## **Introduction**  
+Hello! My name is Isabel and I am a CS Master's student specializing in AI. As a first-generation low-income student in CS with a non-traditional background, I am looking forward to committting to this course and going far with my assigned project! Below are my technical skills and projects/experiences. 
+
+## **Technical Skills**  
+- **Languages & Tools:** Python, C++, Java, PyTorch, Google Cloud Platform, AWS, Linux, Git.  
+- **Technical Skills:** Deep Learning for Computer Vision, Spoken & Natural Language Processing, Decision Making Under Uncertainty, Data Mining & Analysis.
+
+---
+
+## **Projects**  
+### **Cortex-Level Brain MRI Generation Using Diffusion Models**  
+*Spring 2024*  
+- Collaborated with a mentor and team at Stanford's Computational Neuroscience Lab to develop a two-stage ML pipeline for generating high-fidelity synthetic brain MRIs.  
+- Preprocessed 3060 MRIs through denoising, bias correction, skull stripping, affine registration, normalization, and data augmentation.  
+- Employed unsupervised deformable image registration with diffusion models to learn deformation fields, achieving strong performance relative to baseline models.  
+- Project report publicly available [here](https://cs231n.stanford.edu/2024/papers/cortex-level-brain-mri-generation-using-diffusion-models.pdf). 
+
+### **Cercano: A Parking Spot Near You**  
+- Developed a decision-making system leveraging reinforcement learning techniques to recommend the closest parking spot. The decision-making policy outperformed random-action by 50% in major urban centers.  
+- Refined the policy based on simulated parking dynamics, integrating 34,000+ parking structures from public data.  
+- Used random sampling techniques to position cars within geographic boundaries and optimized parking recommendations based on driving distance and time retrieved via the Google Maps API.  
+- Project report publicly available [here](https://aa228.stanford.edu/old-projects/). 
+
+### **Humor Me!: Detecting Humor in Stand-up Comedy**   
+- Built a humor detection tool for binary classification on audio input using fine-tuned foundational models (Wav2Vec 2.0, Hubert, Conformer).  
+- Analyzed ~40 hours of multi-modal, humor-annotated data. Addressed class imbalance and evaluated robustness in misclassification cases.  
+- Conducted comparative analysis between audio-based and text-based classifiers (DistilBERT).  
+
+### **Automated Hate Speech Detection Bot**  
+- Developed a Discord bot targeting hate speech against women using OpenAI's GPT-4 API and prompt engineering for improved accuracy.  
+- Presented the project to 15+ industry representatives, showcasing real-time content evaluation and automated actions to enhance user safety.  
+
+---
+## **Research Experience**  
+### **Research Assistant**  
+*Esfahani Lab at Stanford University*   
+- Conducting research on early cancer detection using computer vision to identify potential cancer biomarkers.