About me

Scientific Consulting and Collaboration

1. Creation of custom machine learning models for data analysis
2. Development of full-stack, GUI-based software applications
3. Quantitative 3D image analysis and visualization
4. Definition of scientific protocols and guidelines
5. Electrophysiology recording rig setup and optimization
6. Microscopy & imaging station setup and optimization
7. Creation of data analysis pipelines and data center hardware optimization

For more information, please download my academic resume or contact me via email.

As part of my broader scientific activity, I am developing software for image and electrophysiology data analysis targeted to the neuroscience community. The end goal is to improve our resercher's ability to process large datasets using parallel computing and identify patterns in experimental data with the aid of machine learning.

Here are some of our most useful open source software. In our laboratory, we strongly believe that software developed for data analysis in scientific research must be open source, to ensure the highest level of reproducibility of your science and to remove barriers to tools access.

	ObjectFinder Automatically quantify objects in large 3D image stacks. Example applications are the automatic detection of synaptic markers in large CNS regions. Perform automatic colocalization analysis, plot data and generate deep-learning models for automatic validation of synapses.
	Clarinet Time series analysis for electrophysiology data. Analyze your electrophysiology traces using a simple user interface. Clarinet's plugin-interface is ideal for you to write your own custom analysis and plotting, and apply it to each recorded neuron.
	VolumeCut Free-form cutter for volumetric images. This program allows you to define fiducial points inside a volume and cut along them, generate and manipulate binary masks as well as manipulate and visualize digital skeletons.
	TrachomaFinder Elimination of Trachoma, the major infectious blinding disease worldwide, is a key challenge of our times. This tool uses deep learning to automatically detect early signs of Trachoma in smartphone photos, in hope of helping our physicians and epidemiologists cure this disease once for all.

A dual role for Ca v 1.4 Ca 2+ channels in the molecular and structural organization of the rod photoreceptor synapse

Mature retina compensates functionally for partial loss of rod photoreceptors.

Partial Cone Loss Triggers Synapse-Specific Remodeling and Spatial Receptive Field Rearrangements in a Mature Retinal Circuit.

Biolistic Labeling of Retinal Ganglion Cells.

Selective Vulnerability of Specific Retinal Ganglion Cell Types and Synapses after Transient Ocular Hypertension.

Glutamatergic Monopolar Interneurons Provide a Novel Pathway of Excitation in the Mouse Retina.

Who's lost first? Susceptibility of retinal ganglion cell types in experimental glaucoma.

Involvement of Autophagic Pathway in the Progression of Retinal Degeneration in a Mouse Model of Diabetes.

Illuminating the multifaceted roles of neurotransmission in shaping neuronal circuitry.

Functional architecture of the retina: development and disease.

Interplay of cell-autonomous and nonautonomous mechanisms tailors synaptic connectivity of converging axons in vivo.

Sensory experience shapes the development of the visual system's first synapse.

Differential progression of structural and functional alterations in distinct retinal ganglion cell types in a mouse model of glaucoma.