On-demand technical help for scientists by experts
Elevate research by building pipelines for raw data → analysis → statistics → reports
Programming: Julia Python Matlab R > C++ Haskell SQL
Tools: *unix Mac Windows AWS git Vim LaTeX TikZ PGF beamer reveal Adobe CS Gimp Inkscape Pandoc ImageMagick FFMPEG ssh screen pdftk parallel i3wm
Statistics: Experimental design, descriptive statistics, parametric and non-parametric hypothesis tests, bootstrapping, power tests, dimensionality reduction, clustering, time series, multivariate stats, Gaussian mixture models, generalized linear mixed models, circular stats, basic understanding of Bayesian methods
Algorithm Design: Sampling and managing data, designing, prototyping, and implementing algorithms, numerical analysis, optimizations, Monte Carlo simulations, ray tracing, memory allocation procedures, parallel computing, glue-code, image and video analysis
Languages: Native/fluent in English, Swedish, and Hebrew
2017–now Malmö, Sweden
Built end-to-end products for recording, storing, analysing, and viewing scientific research
Managed limited resources under a tight schedule in my own company while serving international clients on 16 large projects
Elevated scientific research by offering expert help to scientists with technically challenging problems
2022–-2023 remote
Built profiling functionalities for monitoring streaming performance
Ported a legacy streaming service to a new platform
Identified and solved issues in a novel topological EEG plotting package
2019–-2022 Lund, Sweden
Digitized and automated the data-analysis of the lab primarily using Julia, improving data-management and increasing the publication quality and quantity of all lab members in the group
Awarded two years of fully financed research by the Marie Skłodowska-Curie Action (European Research Council) and VINNOVA for exploring vision in scallops
Collaborated with scores of international, interdisciplinary, and remote researchers resulting in significant discoveries
Supervised the research and career of MSc and Ph.D. students as well as Postdoctoral research fellows
2013–-2016 Queensland, Australia
Discovered what mantis shrimps use their circular polarization vision for – a sense that is now used to detect cancer in humans – by using binomial GLMM
Built computational tools for the image-analysis of polarimetric data that are extensively used in the lab
Modeled algorithms to describe how fish detect polarized targets, resolving all the remaining unanswered issues in the field of polarization vision
Invented a superior method to visualize and represent the polarization of light, a method that has since been widely adopted by the scientific community
2010–-2013 Durham, NC, USA
Helped build a large virtual-reality arena for octopuses, designed graphical content to stimulate the animals with, preformed image-analysis on the camouflage of the animals
Invented and built an automatic apparatus to accurately and efficiently measure the quality of lenses in animal eyes by using FFT, leading to followup-discoveries about visual acuity in deep-sea fish
2006–-2010 Lund University Awarded the Venture Cup Southern Sweden, Fokus Verifiering, Innovation Prize, and Venture Cup Research Challenge for discovering a promising functional advantage for multifocal lenses inspired by nature
2002–2006 Lund University
+46 (0)728 379 876 – yakir@datasturgeon.com – more than 50 ⋆ in GitHub – more than 20 publications in ORCiD – LinkedIn