Leonora Vesterbacka, Phd Email & Phone Number

Sweden

· Principal Investigator of a project awarded access to Leonardo supercomputer through the EuroHPC JU, where we train speech-to-text models, namely Wav2vec2.0 and Whisper, using Swedish data. · Responsible for collecting and validating audiovisual data sources from the National Library of Swedens vast collection of audiovisual data, as well as other data sources of Swedish dialects, to be used in the training of the speech-to-text models.

Stockholm, Stockholm County, Sweden

· Leading the transformation toward a more information-driven and AI assisted government agency. · Developing tools and organizing the infrastructure to draw insights from and measure impact of innovative projects and startups funded by Vinnova. · Mapping agency needs to potential AI applications, including development of PoCs and deployment of prioritized applications using Azure pipelines.· Maintaining and developing an agency-agnostic text analysis tool with functionalities such as topic modelling to facilitate analysis of funding agency documents and data. · Member of networks within AI Sweden to facilitate knowledge sharing for usage of data and machine learning for the digital transformation of the Swedish public sector.

Geneva, Switzerland

· Former member of the ATLAS Collaboration at CERN, Geneva. · Accelerated filtering, mining, and visualization of petabyte-scale datasets by developing multi-class C++/Python frameworks.· Author of a PyTorch toolbox for multivariate reweighting of Monte Carlo simulations using calibrated DNN classifiers https://github.com/leonoravesterbacka/carl-torch, that includes GPU accelerated training, model exporting using ONNX and deployment in a C++ production environment.· Lead an effort to reinterpret the results from 20+ searches for new physics in the context of the phenomenological minimal supersymmetric standard model, that includes a huge challenge to efficiently sample MC generated samples in a 19 dimensional parameter space. · Organized a series of workshops at CERN, teaching industry standard tools (Git, CI/CD, Docker etc.) to the particle physics community, with 300+ participants during 2020. · Co-lead an analysis team of 15+ active members, including distributing work loads, chairing meetings and supervision.

Geneva

· Conducted research about the smallest constituents of matter by connecting data from collisions at the LHC with models and theories. · Lead, improved and published two searches for physics beyond the standard model.· Monitored and improved the performance of the most crucial object for searches for dark matter at hadron colliders, the missing transverse momentum.· Documented novel and successful research insights in published reports.· Communicated my research through 20+ oral presentations including conference talks, workshop talks and seminars.

Doctor Of Philosophy - Phd, Particle Physics

Particle Physics Research at the Large Hadron Collider (LHC) at CERN: • See Graduate Student Research at CERN (above) • PhD Thesis: Search.

Master'S Degree, Physics

Research: • Master Thesis: Optimization of a search for doubly-charged Higgs bosons in same-sign di-muon final states at a center-of-mass.

Exchange Year, Physics

Bachelor'S Degree, Physics

Bachelor Thesis: Dihadron correlations and flow with the ALICE detector

High School, Science