Starting from my PhD. I finished my PhD four years ago in France. My research topic is about Inverse problems in image processing on machine learning and after that, I did a one-year postdoc in the University of Cambridge. And then I moved to the US Duke University for one year postdoc. And then I finished my career in academia then moved to industry to Simmons Research in Princeton for one year. And since last year I joined JP Morgan AI research. That's basically how I arrived here today.

So basically here we are trying to automate Machine Learning for various problems, financial problems here in a bank. Data Scientists are trying to design different Machine Learning models on time series forecasting problems. I travel basically for conferences twice a year and each time, one week. I mostly work from office. I seldom work from home. Maybe once a month. Yeah. So every day for eight hours I'm in the office.

Currently, the programming language I'm more comfortable is Python and models most its internal. Models? all classical regression models. For different tools. maybe I prefer TensorFlow and PyTorch. Currently, we don't have a preference for deep learning models as we're trying to check whether it brings some benefits. For example, I have used some temporal convolutional networks. So this network comes from speed processing area of years ago.