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Candidate's Name
Quantitative Researcher Experimental Physicst Data Analysis Machine LearningEMAIL AVAILABLE, PHONE NUMBER AVAILABLE, LinkedIn, Google Scholar, New York, NY Street Address
SummaryDetail-oriented individual with solid 10 years of experience in research development and data analysis in the quantitative field, proficient in physics, mathematics and statistics, Python, C++, C, and Machine learning. Improved analysis results by a factor of 2 or more through developing and optimizing analysis strategies and applying advanced statistical models. Keen to leverage my skills and passion for data in a team-oriented environment.A cross-functional collaborator who collaborated with international teams from 182 institutes in 42 countries in the ATLAS collaboration.Ability to develop and manifest cutting-edge ideas and solutions to data, as I have published 10 major scientific papers in peer-reviewed physics journals (Google Scholar).Communication skills as over 400 presentations; three invited presentations at international conferences.Ability to handle stress, as I like to play ping-pong and beach volleyball.ExperienceNew York University New York, USASenior Research Associate, Quantitative Data Analyst 2021 - presentUtilize time series data of ATLAS detector to analyze and identify the signal from the Lorentz Symmetry Violation process; improving results by a factor of 10.Developed software in C++ and Python (SciPy, matplotlib) for statistical analysis and data visualization; Implemented data-based uncertainty estimation and Chi-Square analysis.Implement Machine Learning-based trigger algorithms to improve online signal identification; back-test new trigger algorithms.Manage Monte-Carlo simulation in the Exotics group in the ATLAS collaboration.Argonne National Lab Chicago, USAResearch Associate, Quantitative Data Analysis, Detector Upgrade 2017 - 2021Developed an analysis strategy to identify signals from the Lepton Universality Violation process, resulting in a new publication in a peer-reviewed physics journal.Developed analysis software (C++, Python) and Implemented functional decomposition method, predictive model, and uncertainty estimation and improved signal identification from background (noise).Neural Network uncertainty quantification of a b-jet classifier.Developed two software packages for collaborators. Collaborated with firmware developers to test and debug data acquisition system to assist developers and users.Worked as a member of the support team of the HistFitter statistical package to assist users.Stockholm University Stockholm, SwedenResearch Engineer 2017 - 2017Manage and update the tile-calorimeter noise database for the ATLAS experiment.Stockholm University Stockholm, SwedenPhD Research Assistant 2012 - 2016Developed new signal models to improve results; identified weaknesses of SUSY searches.Implement signal selections, predictive models, analysis pipeline, and data visualization in C++ and Python.Implemented statistical models to test hypotheses and provide confidence intervals on signal parameters.SkillsCross-functional collaborator Big data Statistics Analysis Physics Mathematics Technical Writing Project Management Innovative problem-solving Github Grid computing HTcondor Data Management Data Extraction Data Visualization Data Science Data Mining C++ Python C Google Docs Sheets SQLight Machine learning Neural network Python (NumPy, SciPy, matplotlib, Pandas, etc) TensorFlow Keras sci-kit learnEducationStockholm University Stockholm, SwedenPhD, Experimental Particle Physics - ATLAS Experiment 2011 - 2016Universit di Camerino Camerino, ItalyMaster, Theoretical Physics 2008 - 2010Xinjiang University New York, ChinaB.S., Physics 2002 - 2007TrainingPrinceton University (CoDaS-HEP) Princeton University, USAComputational and Data Science Training for High Energy Physics 2011 - 2016University of London London, UKSchool of Trigger and Data Acquisition (ISOTDAQ2019) 2008 - 2010INFN-LNF INFN-LNF, ItalyExcellence in Detectors and Instrumentation Technologies (EDIT) school 2002 - 2007Affiliations & GrantFormer member of Oskar Klein Center for Cosmoparticle Physics, SwedenCurrent Member of the European Organization for Nuclear Research (CERN)LDRD Research Grand, Argonne National Lab, USALiljevalchs travel grant, Stockholm University, SwedenHobbiesGym Beach volleyball badminton Ping Pong