Daniel Fridman
Research Assistant (M.sc)

Personal statement:

I am a biologist at heart with a strong passion for the life sciences. In my free time, I love staying physically active and always looking for new ways to challenge myself outside the lab.

Research statement:

My work bridges the gap between biological research and computational analysis, drawing on my past experience in biological R&D. I specialize in developing computational biology workflows, software automation, and advanced data analysis pipelines using Python, R, and SQL within Unix server environments. A primary focus of my recent research involves the in-depth analysis of SARS-CoV-2 B-cell receptor repertoires.

Projects:

  • Creation of novel sequence analysis pipeline which utilizes the Latent Personal Analysis algorithm.
  • Overhauled and operationalized an incomplete BCR analysis pipeline, enabling the use of spectral clustering to successfully process and visualize vast cell populations within the immune repertoire.
  • Currently collaborating with a neurology research lab to analyze neuronal structures derived from fruit fly brain scans.

Publications and presentations