Stefano Schmidt Email & Phone Number

PhD student working at Utrecht on Gravitational Waves Data Analysis.Together with the Virgo collaboration, I contribute to the detection and study of signals from compact objects such as black holes and neutron star.Looking forward to new challenges, in order to apply what I learnt also to non academic problems. In particular, I'm excited to dive into data analysis for business needs, meeting the client's requirements, or to perform quantitative analysis of financial data, developing new trading algorithms.🔍Interests🔹 Timeseries analysis: extracting information from a complicated (and noisy) time series with a wealth of different techniques🔹 Statistical inference: enhancing state-of-the-art techniques to produce new knowledge with the power of Bayesian inference🔹 Machine Learning: using the latest fancy tool for sampling, for anomaly detection or for accelarating expensive computational tasks🔹 High performance computing: exploiting large computer clusters to perform massive parallelized computations😍 What I like🔸 Exploring new computational techniques to solve complicated challenges🔸 Working in teams of motivated people🔸 Supervising younger researchers to achieve the greatest results🔸 Coding & working with large computer clusters🔸 Continuosly learning about new stuff🎓 PhD Thesis — Searching for signals from precessing black hole binariesSearching for gravitational waves is a very hard problem. Imagine you are at a party, with fun music and loud people, and you need to capture the voice of a person whispering at the other side of the room. How would you do it? That's my job!The search for precessing signals from black hole binaries poses a great amount of challenges, which stimulated me to find innovative and elegant technical solutions. Besides my main research focus, I also worked on several side projects in machine learning waveform generation, anomaly detection and spectral analysis.