Charlotte Cialek

Charlotte is a PhD student in the Biochemistry and Molecular Biology program studying a repression mechanism of gene expression. She is interested in using programming, data science, and statistics to advance biomedical research.

• Education: B.A. in Biochemistry, Northern Michigan University
• Interests: Data science, high-resolution imaging, microRNAs
• Languages (experienced): Mathematica, Python
• Languages (learning): None
• Currently learning: Task automation
• Learning next: Machine learning of imaging data
• Current pet projects: None
• Current research projects: Tracking translational repression
  

• LinkedIn
• GitHub

My PhD work

Charlotte’s project is a collaboration of her co-mentors, Tai Montgomery and Tim Stasevich. She is using Dr. Stasevich’s novel imaging technique to illucidate the mechanism of microRNA and protein Argonaute in gene silencing at the translation level. Her project seeks to further our understanding protein translation regulation and mRNA decay.

My current BCG work

Currently, Charlote uses Mathematica and ImageJ to analyze images. She writes macros in ImageJ to post-process raw images from her lab’s home-made single-molecule microscope and to do simple analyses. For single particle tracking and intensity analyses and making plots and charts, Charlote uses Mathematica scripts.

She is practicing coding in R and python to expand her coding toolkit for future data science projects.

My projects & contributions

Sequence File Converter (Utility scripts)

ImageJ / FIJI macros (Image Processing Codes)

Mathematica image analysis scripts (Image Processing Codes)

My blog posts