Machine Learning Engineer at Vara
developing and refining machine learning algorithms and data pipelines for
cancer detection in mammography screening
simulations and interactive visualizations of screening process and effects of
interactions of radiologists and ML algorithms
PhD in Neurosciences at the Max Planck Institute for Neurobiology (now part of
Max Planck Institute for Biological Intelligence)
Prof. Dr. Ruben Portugues
MSc Neurosciences, Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität München, Germany, Thesis supervisors: Dr. Álvaro Tejero Cantero, Prof. Dr. Andreas Herz
Sep. 2010 - Jul. 2013BSc in Electrical Engineering and Information Technology, University of Zagreb, Croatia
Research internship at the Center for Brains, Minds and Machines, Massachusetts Institute of Technology, group of Tomaso Poggio, supervised by Dr. Xavier Boix
developed synthetic datasets and training protocols for re-
current convolutional networks for image segmentation that
improved learning of long-range dependencies
Stytra - a system for online animal tracking of behavior and closed-loop projections and the accompanying analysis packages (bouter and Bouter.jl)
2015 - 2020Microscope control software and analysis packages (Sashimi, Brunoise, fimpy, VolumeRegistration.jl and Calcium.jl)
Python
scientific stack, Tensorflow, Qt
Julia
scientific stack, Flux
C++
robotics with ROS, Qt
git, continuous integration
HTML, CSS, Javascript
visualisation with D3
bash, Docker, SLURM
Adobe Photoshop, InDesign, Illustrator, Inkscape
Blender, Unity, SketchUp
English, German, Croatian
French, Italian
Sensorimotor representations in cerebellar granule cells in larval zebrafish are dense, spatially organized, and non-temporally patterned
Current Biology, April 2017
Stytra: an open-source, integrated system for stimulation, tracking and closed-loop behavioral experiments
PLOS Computation Biology, April 2019 | native web version
Evidence accumulation during a sensorimotor decision task revealed by whole-brain imaging
Nature Neuroscience, December 2019
Valence and state-dependent population coding in dopaminergic neurons in the fly mushroom body Current Biology, May 2020
Do Neural Networks for Segmentation Understand Insideness?
Neural computation, August 2021