Emmanuel Bernhard

Background

About Emmanuel Bernhard

As a PhD graduate with additional years of academic and company experience in R&D, I am an expert in designing data-driven methods to test scientific hypotheses. I have worked with data from the most outstanding space telescopes, whether it was for astronomy (e.g. Herschel, Spitzer, Chandra, JWST, Gaia), or Earth observation (Sentinel 2 & 3), as well as developped skills in Computer Vision (model fisheye cameras) and AI algorithms (e.g. transformers). Using Python (e.g. Numpy, Pandas, Matplotlib, Tensorflow/Keras, OpenCV), I can manipulate, explore, and model data which helps companies to reach their goals, whether it is related to decision making for their long-term growth and stability, or for products they wish to develop and market. I am also skilled at vulgarisation, and can explain complex notions to non-experts by finding the most accurate analogies, which was useful when supervising PhD and graduate students, as well as presenting projects to stakeholders. Finally, I believe that my strong social skills will allow me to incorporate any teams at any time of the project, especially on Friday evening when it's time to go to the pub.