Anna Kogan

Worked as Science Manager at LAPTI (SECRETUM).

• Mathematically modelled cortical circuits as dynamical systems, simulated neural network activity
• Maintained reproducible analysis pipelines for neural population models and multicompartment simulation
• Assured numerical stability and consistency across experiments by implementing quality checks into the script

• Designed, executed, and evaluated 10+ in vitro and 2 large in vivo experiments for a vaccine research project
• Automated AAV-epitope cross-reactivity assessment by developing the reusable Python script
• Maintained project cell bank by harvesting of eukaryotic cell cultures and bacteria
• Optimized an ELISpot and ELISA assay protocols by adjusting solution content according to project needs
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• Was instrumental in the development and construction of a device for transmembrane proteins electric characterisation
• Implemented a new protein analysis method in the lab by training and guiding colleagues
• Developed an operating procedure manual and data analysis pipeline for the new method using Python and OriginPro
• Published 3 conference articles, based on the results of the study
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• Led spectrophotometry assessment of the photosencitizer solutions; participated in confocal microscopy in vitro experiments
• Performed photodynamic cancer therapy (PDT) on mammalian cell culture
Results (selected):
• Developed a method for a 100-fold faster evaluation of cancer photodynamic therapy (PDT)
• Results of the study were presented at the International Science and Engineering Fair (IS

• Ranking top 5% of the department
• Winner of the student grant for Q1 journal publication

• Main courses: Physics (5 semesters), Calculus (6 semesters), Biology (2 semesters), Python, Biochemistry, Physical Chemistry
• Semester projects: Optics (interferometers, diffraction, birefringence), Spectroscopy (laser spec., FTIR, NMR, Raman, fluorescence spec.), Biochemical lab methods
• Ranking top 20% of the department

Issued Jun 2021