Meet the Team

  • You?

    We are hiring!
    We are working hard to represent humans of all kinds in our team. We are not doing good enough yet. If you do not feel represented in our team it would make us even more happy if you would consider applying.

  • Anders Wind Steffensen

    MSc in software development who loves to make code run fast. Anders is our C++, CUDA, and high-performance compute expert making our code run fast and reliably in the wild.

  • Liyang Han

    Liyang Han

    Liyang is our Energy Markets expert. He did his MSc at Stanford and PhD at the University of Oxford focusing on energy economics. Most recently he worked as a PostDoc at DTU on the topics of energy and data markets. Liyang is an advocate for diversity and equal opportunity and he spends lots of time in the theatre both on and off stage.

  • Mansi Mittal

    Mansi did an Integrated MSc/BE degree in Biological Sciences and Computer Science at BITS Pilani and has previously done research internships at INRIA and Amazon. At twig Mansi works as a Machine Learning Engineer modeling power grid data.

  • Didrik Nielsen

    Didrik did a MSc in Applied Physics and Mathematics and a PhD in Machine Learning. During his PhD he worked on Deep Generative Modelling and collaborated with leading researchers at RIKEN and University of Amsterdam. At twig Didrik works on our machine learning models for weather and sequential data.

  • Junesoo Shin

    Junesoo completed his MSc in Sustainable Energy at DTU specializing in energy markets, mathematical modelling, and optimization. At Twig Junesoo works on asset optimization within energy markets to seamlessly integrating sustainable technologies into the power grid and effectively operating them within energy markets.

  • Søren Sønderby, Co-Founder

    MSc, Phd in Bioinformatics from University of Copenhagen. Previously worked on autonomous systems and large scale deep learning systems in Apple Special Project group, Cupertino and founded an AI fintech company operating on the NYSE exchange.

  • Mads Engesgaard Jacobsen

    Mads Engesgaard Jacobsen

    MSc in Computer Science from University of Copenhagen. Mads likes hunting down bugs, fixing edge cases and making the code clean and correct. He has previous experience from algorithmic trading and looks forward to putting his skills to use for green energy.

  • Anne Kathrine Mehlsen

    Anne Kathrine has a BSc in Business Administration and a MSc in International Business, with a professional background as Executive Assistant for C-levels focusing on strategy and management support. At Twig Anne Kathrine spends her time on business development, partnerships and generally running a fast-growing company.

  • Rasmus Berg Palm

    PhD In machine learning from the Technical University of Denmark and previously lead of ML in Tradeshift. Rasmus likes probabilistic and bayesian models, models that learn by trying to predict the future, models that can be trained end-to-end and more models.

  • Domas Kaziukonis

    Domas Kaziukonis

    MSc in software engineering from Aalborg University. Domas enjoys building reliable and scalable backend systems and has spent the better part of the last decade doing so for Danish and American fintech unicorns.

  • Casper Sønderby, Co-Founder

    Casper did a phd in Deep Learning back when VGGs were cool. More recently he initiated and lead Google Brains research efforts in data driven short term weather predictions and prior to that were at Twitter Cortex and Deepmind technologies. Casper is thrilled about putting years of AI research to work in decarbonising the grid.

  • Mikael Lindemann

    Mikael did a MSc in software development at the IT University of Copenhagen and is multilingual in backend development from C++ to TypeScript. At twig Mikael expands the features of our real-time production system while keeping it fully automated

  • Philip Sarnikowski

    MSc in Biomedical Engineering with a focus on machine learning from Technical University of Denmark. Philip is a Linux enthusiast and loves to code, primarily in Go. He is interested in building robust and fast backend systems while reducing complexity.