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Hi there πŸ‘‹

Hey everyone, my name is Jan David Fischbach. I have studied electrical engineering πŸ’‘ at RWTH University, where I graduated with a master's degree in 2022 πŸŽ“.

I made my first contact with photonics during a voluntary internship at TU Vienna during my second semester, where I had the pleasure to witness a mind-blowing πŸ’₯ presentation by Jelena Vuckovic on inverse photonic design. Ever since I was determined to go down that very rabbit hole. Starting off with the conventional intuition-driven design of fabrication robust passive devices in my bachelor's thesis, and subsequent work at the Institute for Integrated Photonics (IPH) πŸ₯Ό. At IPH I also spend some time in their cleanroom facilities dedicated to PIC fabrication πŸ› οΈ. In my masters, I started working on active graphene photonic devices (theoretically and practically), in particular, (resonant) graphene modulators in a collaboration between Black Semiconductor GmbH and the Center for Applied Micro- and Optoelectronics (AMO) πŸ”¦.

NOTE: You can find the online version of my masters thesis here.

In the long run, I am in pursuit of an open and enabling environment for all areas of integrated photonics in academia and industry. With (computational) photonics, we have a very potent toolbox 🧰 capable to tackle a wide variety of relevant problems (communication πŸ›°οΈ, sensing 🧬, compute πŸ’Ώ, etc.). However, I believe we can only make full use of its potential as a collaborative community 🀝.

I have been working at Black Semiconductor and since Feburary traveling after graduation. It's about time to get my hands dirty again: In October I picked up a position as a PhD candidate at TFP in Karlsruhe, Germany.

Pinned

  1. javiche javiche Public

    A JAX wrapper around ceviche to make interoperability easier. In the future it might make sense to update ceviche itself to use JAX internally.

    Jupyter Notebook 7

  2. inverse_design_strict_fabrication inverse_design_strict_fabrication Public

    Forked from flaport/inverse_design

    Jupyter Notebook 1

  3. gproject gproject Public

    Python 2 1

  4. jaxwell jaxwell Public

    Forked from stanfordnqp/jaxwell

    Jaxwell is JAX + Maxwell

    Python 12

  5. agjax agjax Public

    Forked from mfschubert/agjax

    Jax wrapper for autograd-differentiable functions

    Python

  6. ceviche-challenges ceviche-challenges Public

    Forked from google/ceviche-challenges

    A suite of photonic inverse design challenge problems for topology optimization benchmarking

    Python 1