Here is a brief summary of my CV. You may contact me via LinkedIn for a detailed copy.

Education

  • Ph.D. in Computer Science, University of Southern California, 08/2018 – 06/2022
  • M.Sc. in Computer Science, University of Southern California, 08/2018 – 12/2020
  • M.Sc. in Data Science, New York University, 09/2015 – 05/2018
  • B.A in Economics and Math, Hamilton College, 08/2010 – 12/2014

Work Experience

  • Applied Scientist II, Amazon Web Services, 06/2022 – present
    Working on open-domain search and QA at AWS AI Labs.

  • Senior Associate, Data Scientist, Commonwealth Bank, 05/2017 – 06/2018
    Built the bank’s first machine learning model and big data pipeline to assess commercial lending risk, i.e. default rate of small business loans.

  • Senior Research Analyst, Federal Reserve Bank of New York, 03/2015 – 04/2017
    Researched and applied a wide range of statistical tools such as hidden factor model and time-series analysis to predict economic and financial indicators. Some projects I contributed to substantially have been published on NY Fed’s website: Nowcast, UIG and others relevant to Monetary Policy

Internships

  • Applied Scientist Intern, Amazon Alexa, 05/2020 – 08/2020
    Worked in Alexa web-based QA team under the supervision of Alessandro Moschitti.

  • Senior Data Scientist Intern, IBM Corporation, 05/2019 – 08/2019
    Built a ticket categorization pipeline and resolution recommendation model using ML and NLP tools to improve the efficiency of IBM internal customer support system.

  • Analyst Intern, Chalkstream Capital, 09/2014 – 12/2014

  • Analyst Intern, NERA Economic Consulting, 05/2014 – 08/2014