Experience

AbleTo Inc.

• United States
• Mental Health Care
• 700 & Above Employee

• • Mar 2022 - Present

• • Jun 2020 - Mar 2022



Simplebet

• United States
• Software Development
• 1 - 100 Employee

• Data Scientist

  • Aug 2019 - Jan 2020

  Developed Visualization tool kit for backtesting results and performance comparison. Built prematch models for NBA team points with different methods to determine bookmaking price. Developed Visualization tool kit for backtesting results and performance comparison. Built prematch models for NBA team points with different methods to determine bookmaking price.



The University of Texas at Austin

• United States
• Higher Education
• 700 & Above Employee

• Graduate Research Assistant

  • Dec 2013 - Aug 2019

  Building dark matter model with one extra-dimension with techniques in partial differential equations as well as numpy and scipy packages of Python. Modeled how measurements in high energy physics experiments are effected by detector uncertainties and particle misidentification with probability theory and Monte Carlo simulation. Created new features from high energy physics experiment measurements with Voronoi tessellation and geometry for mass measurement and used optimization method to infer particle masses. Visualized results with matplotlib package of Python. Utilized feature for decay process classification and compared feature importance with other known features using Monte Carlo simulation, deep learning and statistical inference. Represented the Theory Group of UT in the Machine Learning workshop held by Microsoft. Show less



CERN

• Switzerland
• Research Services
• 700 & Above Employee

• Graduate Research Assistant

  • Jun 2014 - Aug 2014

  Studied feature importance of different kinematic features for decay process classification with different types of machine learning algorithms including artificial neural network and boosted decision trees with TMVA package of Python. Built ATLAS official multilepton Monte Carlo simulation dataset for LHC pre-Run2 study. Studied feature importance of different kinematic features for decay process classification with different types of machine learning algorithms including artificial neural network and boosted decision trees with TMVA package of Python. Built ATLAS official multilepton Monte Carlo simulation dataset for LHC pre-Run2 study.



KEK

• Research Services
• 100 - 200 Employee

• Graduate Research Assistant

  • Jun 2010 - Jun 2012

  Performed regression model on collider data to estimate physics quantities including particle masses and widths. Rejected the existence of the hypothesized particle Yb(10900) with statistic test hypothesis. Performed regression model on collider data to estimate physics quantities including particle masses and widths. Rejected the existence of the hypothesized particle Yb(10900) with statistic test hypothesis.