I worked as a bioimage analyst helping IGMBC users to process, analyze and extract information from their videos and images. I am handling several projects at the same time while I coordinate with the rest of the facility team to advice users choices and optimize the imaging measurements. I try to focus on reproducibility, automation and efficiency for our users.

While I primarily focus on Python and ImageJ programming, I have used numerous other image analysis tools. Here are a few of them:

• QuPath
• Napari, ACDC, DeepLabCut, Ilastik, FISH-quant
• StarDist, Cellpose, UNet, MNIST, YoLo, AxonDeepSeg
• CellProfiler
• Vaa3D

I studied protein kinases regulation and interaction in cell death, using correlation microscopy. I developed new tools for the study and detection of intracellular signalling, in form of FRET biosensors with more desirable properties. Main focus on fluorescence microscopy, combining many different techniques, from widefield FRET imaging to super-resolution optical fluctuation imaging (SOFI).

During this time I obtained two publications:

• Spectrally Tunable Förster Resonance Energy Transfer-Based Biosensors Using Organic Dye Grafting
• Modifying PCDH19 levels affects cortical interneuron migration.

I have worked extensively with simple and advanced microscopy techniques:

• FRET imaging, smFRET, TIRF, SOFI, FCS, RICS, FLIM, anisotropy
• Widefield (Olympus, Nikon), Confocal (Leica, Zeiss), AiryScan (Zeiss) and custom built setups
• I have been referent for over 2 years of a high-throughput custom-built widefield microscope
• I have assembled a widefield microscope for live-cells imaging from saved parts

I also developed:

• An automatic cell segmentation and tracking open-source pipeline
• A reference guide and python script for quantitative FRET imaging

I have taught as a private tutor online at high-school, university and adult level. I mostly focused on these few topics:

• english
• informatics
• statistics
• biology
• chemistry