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markf94/README.md

Welcome, human! I'm Mark 👋

Pronouns Nationality Location

I'm a theoretical physicist by training and entrepreneur & pythonista by choice. I co-founded the Toronto-based biotech startup ProteinQure where we built one of the world's first computational platforms for protein therapeutics (think 3D CAD for molecules) and the Quantum Open Source Foundation. Nowadays, I spent most of my time building a molecular database with mongoengine, petascale drug discovery workflows using Argo, multi-property optimization algorithms using deap as well as quantum-classical hybrid networks with PennyLane and TensorFlow Quantum.

Quick facts:

  • 💬 Ask me about Python, quantum computing, open source software, 3D printing and my many hobbies
  • 📫 Talk to me on the QOSF Slack channel
  • Fun fact: I like surfing the Great Lakes in the middle of winter.

Snapshot:

  • 💻 My current favourite open source project is VCVRack - A virtual modular Eurorack synthesizer
  • 🌱 I’m currently learning: modular synthesis, ice lead climbing, Colemak-DHm
  • 👯 I’m looking to collaborate on Quantum Open Source Software
  • 🤔 I’m looking for help with some QOSF projects revolving around quantum software
  • ⌨️ My work setup consists of: Moonlander MK 1 split keyboard & Kensington SlimBlade Trackball
  • 🖨️ I’m currently 3D printing knobs and stands for the Teenage Engineering OP-Z
  • 🎮 I’m currently playing Half-Life: Alyx VR
  • 🚐 I’m currently climbing frozen waterfalls in Canada

Twitter Follow

Pinned

  1. Curated list of open-source quantum software projects.

    922 215

  2. QML_Thesis Public

    All files for research proposal and bachelor thesis on Quantum Machine Learning at the University of KwaZulu-Natal in Durban, South Africa.

    Python 52 24

  3. Google Collaboratory notebooks for the SDSS 2020 workshop on "Introduction to programming quantum computers"

    Jupyter Notebook 25 8

  4. Slide decks and Jupyter notebooks for training on Rigetti's quantum software stack at the Creative Destruction Lab 2018.

    Jupyter Notebook 50 16

  5. Template with code & dataset for the "Structural basis for solubility in protein expression systems" challenge at the Copenhagen Bioinformatics Hackathon 2021.

    Python 15 22

  6. Code that was used to generate the results for the publication 'Implementing a distance-based classifier with a quantum interference circuit' by Schuld, Fingerhuth and Petruccione (2017).

    Python 15 2

89 contributions in the last year

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Contribution activity

May 2022

markf94 has no activity yet for this period.

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