Machine Learning Data Analysis

Dr. Yiming Abulaiti

Quantitative Researcher Experimental Physicst Data Analysis Machine Learning

******@***.***, 347-***-****, LinkedIn, Google Scholar, New York, NY 10012

Summary

Detail-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.

Experience

New York University New York, USA

Senior Research Associate, Quantitative Data Analyst 2021 - present

●Utilize 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, USA

Research Associate, Quantitative Data Analysis, Detector Upgrade 2017 - 2021

●Developed 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, Sweden

Research Engineer 2017 - 2017

●Manage and update the tile-calorimeter noise database for the ATLAS experiment.

Stockholm University Stockholm, Sweden

PhD Research Assistant 2012 - 2016

●Developed 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.

Skills

Cross-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 learn

Education

Stockholm University Stockholm, Sweden

PhD, Experimental Particle Physics - ATLAS Experiment 2011 - 2016

Università di Camerino Camerino, Italy

Master, Theoretical Physics 2008 - 2010

Xinjiang University New York, China

B.S., Physics 2002 - 2007

Training

Princeton University (CoDaS-HEP) Princeton University, USA

Computational and Data Science Training for High Energy Physics 2011 - 2016

University of London London, UK

School of Trigger and Data Acquisition (ISOTDAQ2019) 2008 - 2010

INFN-LNF INFN-LNF, Italy

Excellence in Detectors and Instrumentation Technologies (EDIT) school 2002 - 2007

Affiliations & Grant

●Former member of Oskar Klein Center for Cosmoparticle Physics, Sweden

●Current Member of the European Organization for Nuclear Research (CERN)

●LDRD Research Grand, Argonne National Lab, USA

●Liljevalchs travel grant, Stockholm University, Sweden

Hobbies

Gym Beach volleyball badminton Ping Pong

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