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