Silvano Garnerone, PhD

Silvano Garnerone, PhD, has a strong background in data science and research. Silvano is currently employed at Klarna as the Lead Data Scientist, where they utilize their expertise to contribute to the company's data-driven initiatives. Prior to their role at Klarna, Silvano worked as a Senior Data Scientist at the same company.

Before joining Klarna, Silvano worked as a Project Leader at Karolinska Institutet for six years. In this role, they were responsible for setting up and supervising computational infrastructures and analytic platforms for research groups in the field of genomic and microscopy biotechnologies. Silvano also served as a data science consultant, contributing to successful project proposals that were awarded millions of euros in research grants.

Silvano's experience also includes working as a Postdoctoral Research Fellow at the University of Waterloo, where they focused on machine learning and topological data analysis. Silvano developed algorithms that achieved exponential speed-up for unsupervised machine learning and feature extraction of large structured datasets.

Additionally, Silvano worked as a Postdoctoral Research Fellow at the University of Southern California, where they specialized in algorithm development and anomaly detection. Silvano achieved a polynomial speed-up in estimating the Google PageRank and developed efficient anomaly detection schemes for complex model systems.

Earlier in their career, Silvano served as a Postdoctoral Research Fellow at LPTHE Paris, focusing on anomaly detection and state classification in models with disorder.

Overall, Silvano Garnerone, PhD, brings extensive experience in data science, machine learning, algorithm development, and anomaly detection to their current role at Klarna. Silvano'sexpertise and contributions have been recognized through successful project proposals and advancements in computational methodologies.

Silvano Garnerone, PhD, has a strong educational background in the field of Physics. In 1997, they began their studies at Università di Pavia, earning a Master of Science (MS) degree in Physics in 2002. Building upon their undergraduate education, Silvano pursued further academic achievement. From 2004 to 2006, they attended Politecnico di Torino, where they obtained a Doctor of Philosophy (Ph.D.) in Physics.

In addition to their formal education, Silvano also possesses a range of certifications related to data pipelines, machine learning, and cloud platforms. These certifications include "Building Batch Data Pipelines on GCP" from Coursera, "Deep Learning" from Kaggle, "Google Cloud Platform Big Data and Machine Learning Fundamentals" from Coursera, "Intermediate Machine Learning" from Kaggle, "Intro to Machine Learning" from Kaggle, "Intro to SQL" from Kaggle, "Modernizing Data Lakes and Data Warehouses with GCP" from Coursera, and "Python" from Kaggle.