About Me
Hi! Iām Alex Haskel, currently a third-year undergraduate student at Hunter College, in New York City. Iām passionate about computer science, physics, philosophy, and math. In particular, I am interested in AI, ML, scientific computing, algorithms, and computer vision.
š Skills & Technologies
- Programming Languages: Python, C++, Mathematica
- Tools: Git, VS Code
- OS: Linux, Windows
- Others: Markdown, LaTeX
š Projects or SIMCODES Contributions
š Machine Learning-Enhanced Computational Modeling of Metal-Protein Interactions
Description: My work was to extract and clean data, and to analyze it using symbolic regession techniques and neural networks in order to improve quantum chemistry predictions.
In particular, our project consisted in trying to improve the accuracy of damping functions used within the Effective Fragment Potential (EFP) method, a computational approach designed to describe intermolecular interactions. I was responsible for extracting relevant data, putting it into formats suitable for machine learning, designing a symbolic regression pipeline using PySR, and creating a variety of neural networks to deal with the data using PyTorch.
Tech Stack: Python, PyTorch, PySR, Scikit-Learn
Link: [GitHub Repo]
š Goals for This Internship
- [ā] Use computer science and ML to contribute to an interdisciplinary project
- [ā] Get hands-on experience with data extraction, regression techniques, and neural networks
- [ā] Build strong Python + Linux foundations
š Links
- GitHub: @AlexHaskel
- Midterm Presentation: Link
- Poster: Link