8000 Jedrzej-Wydra (Jędrzej Wydra) · GitHub
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Jedrzej-Wydra/README.md

Hello there!

Jędrzej Wydra, a.k.a. General Kenobi

As a “double master” — not a Jedi Master (though that would be pretty awesome), but someone who holds two master’s degrees — I’ve combined my expertise in law and mathematics to delve into the world of forensic science. My research primarily focuses on evaluating evidence related to time of death estimation, developing tools that could greatly assist judges and forensic experts in their critical decision-making processes. In my professional life as a data scientist, I tackle a variety of projects, with a current emphasis on integrating AI into legal practice.

Why did I choose this path? Once I heard a lawyer say, ‘If I could do math, I would be too powerful’, and that was the moment when I decided to gain that power. When I’m not dissecting legal texts or crunching data, you can find me sipping fine Matcha, diving into psychology studies, or working on my calisthenics routine.

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  1. temperature-reconstruction temperature-reconstruction Public

    Forensically useful mid-term and short-term temperature reconstruction for quasi-indoor death scenes

    Jupyter Notebook

  2. independence independence Public

    Independence of functional data

    Jupyter Notebook

  3. competition-cooperation competition-cooperation Public

    Competition, cooperation, and parental effects in larval aggregations formed on carrion by communally breeding beetles Necrodes littoralis (Staphylinidae: Silphinae)

  4. improving-accuracy improving-accuracy Public

    Improving accuracy of age estimates for insect evidence—calibration of physiological age at emergence (k) using insect size but without “k versus size” model

    R

  5. optimal-post-eclosion optimal-post-eclosion Public

    The optimal post-eclosion interval while estimating the post-mortem interval based on an empty puparium

    R

  6. Likelihood-ratio-in-handwriting-evidence Likelihood-ratio-in-handwriting-evidence Public

    Likelihood ratio to evaluate handwriting evidence using similarity index

    R

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