Dr. Maria Tikhomirova

• Design of week-long biological experiments • High resolution microscopy, high-throughput microscopy and cell tracking • Optimization of computer vision pipelines for image segmentation with further batch processing in Cloud • Development of novel segmentation approaches • Data cleaning and classification, Statistical postprocessing • Presentation of research results to public of different background; assisting colleagues in solving their IT-problems and collaboration with UZH S3IT team

• Assisting clients (scientific staff) with image and data analysis • Demonstration image analysis basics to clients of the facility • Matlab tool with UI for statistical analysis of biotattoo images became a part of publication “Synthetic biology-based cellular biomedical tattoo for detection of hypercalcemia associated with cancer” in Science group journal, 2018

• Obtained high resolution images of membrane proteins using Peak- Force based Atomic Force Microscope (PF-AFM) • Debugged and improved upon a previously written Matlab tool developed for PF-AFM and developed additional one, both with UI and currently actively used in the lab

• Publication “Direct observation of R-loop formation by single RNAguided Cas9 and Cascade effector complexes” in PNAS, 2014 • Successful design and realization of single molecule DNA experiments using Magnetic Tweezers assay • Automated time-series analysis of magnetic tweezers data using Matlab and Origin (LabTalk) script (currently used in the lab)

Data munging, statistics and data base operations using Python/R, postgreSQL, Machine learning using sklearn/Python, Tensorflow, Keras, NLTK, Data visualization and graphic design using matplotlib, seaborn and ggplot2 (Shiny, Bokeh)

Cell biology, Big Data, High-throughput analysis, Computer vision

Physics, Biology, Math, Programming

Physics, Biology, Math