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Bioinformatics project analyzing cancer metabolism using computational modeling and analysis. The project was awarded the GIDI-UP: Summer Research Award and includes data, models, and scripts.

Jupyter Notebook 93.45% Python 4.49% Shell 2.06%
cobrapy metabolism transcriptomics cancer-classification flux-sampling riptide bash python

cancer-metabolic-analysis's Introduction

About Me ๐Ÿ‘‹

I'm a Computer Science student and AI researcher at the University of Virginia passionate about leveraging tech for positive change. I'm experienced in building scalable web applications and training predictive/generative AI models. Currently, I'm exploring AI and software applied towards real-world problems.

Experience ๐Ÿš€

  • Software Engineer at Bronco AI. Building AI tools for industry.
  • Member of Technical Staff at Charlottesville-Albemarle Rescue Squad. Developed a database manager app and optimized an embedded software security system.
  • Machine Learing Researcher at UVA's Computational Systems Biology Lab. Developed predictive ML models for cancer on high-performance computing systems.
  • Software Engineering Intern at Freddie Mac. Built a python internal automation tool, contributed to the data privacy framework, and designed a cloud-based document management solution.

Feel free to reach me at [email protected].

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