About Me

Hi! I’m Chideraa Ngwadom, currently a rising third-year undergraduate student-athlete at Amherst College in the Department of Computer Science and Psychology. I’m passionate about machine learning, artificial intelligence, data science, biostatistics, psychology, and mental health, and currently exploring opportunities in machine learning and AI.

🛠 Skills & Technologies

Programming Languages: Python, Java
Tools: Git, VS Code
OS: Linux, macOS, Windows

📚 Projects or SIMCODES Contributions

📌 Predictive Modeling in Serine Protease Substrate Catalysis

Description: Contributed to predictive modeling of serine protease substrate catalysis by extracting, cleaning, and analyzing biochemical data using symbolic regression and neural networks to enhance quantum chemistry predictions. Engineered molecular and reaction-based features for initial logistic regression models, laying the groundwork for integrating ESM embeddings and developing a graph neural network for improved catalytic efficiency prediction. Tech Stack: Python, GitHub, Git, RDKit, Jupyter Notebooks, Bash/Zsh, Google Colab, Project Management, Machine Learning, Deep Learning Link: [GitHub Repo]

📈 Goals for This Internship

[✅] Learn more about real-world version control workflows (Git)
[✅] Contribute to collaborative open-source code
[✅] Build strong Python + Linux foundations
[✅] Document my learning journey

🔗 Links

GitHub: @chithewiz
LinkedIn: linkedin.com/in/Chideraa_Ngwadom
Midterm Presentation: [Link]
Poster: [Link]