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Applied Scientist @ Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
My main research interest is large-scale graph data mining. My research domains include multi-network mining, subgraph matching, network embedding, knowledge graph reasoning, recommender system, etc.
University of Illinois Urbana-Champaign
Doctor of Philosophy - PhD, Computer Science
January 1, 2019 – January 1, 2021
Arizona State University
Doctor of Philosophy - PhD, Computer Engineering
January 1, 2016 – January 1, 2019
Arizona State University
MS, CE
January 1, 2014 – January 1, 2016
Beijing Jiaotong University
Bachelor's degree, EE
January 1, 2010 – January 1, 2014
Amazon
Applied Scientist
January 1, 2022 – Present
University of Illinois Urbana-Champaign
Graduate Research Assistant
September 1, 2020 – December 1, 2021
Amazon
Research Intern
May 1, 2020 – August 1, 2020
University of Illinois at Urbana-Champaign
Graduate Teaching Assistant
August 1, 2019 – May 1, 2020
WeWork
Research Intern
June 1, 2019 – August 1, 2019
United States
Arizona State University
Graduate Research Assistant
June 1, 2017 – May 1, 2019
Tempe, AZ
Arizona State University
Graduate Teaching Assistant (Statistical Machine Learning)
September 1, 2016 – May 1, 2017
Tempe, AZ
Arizona State University
Graduate Research Assistant
June 1, 2016 – August 1, 2016
Tempe, AZ
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with significant time spent in universities and research internships. While this demonstrates strong analytical capabilities, the lack of diverse project experience or detailed descriptions of contributions in team-based corporate environments makes it difficult to fully assess cultural fit for a typical Data Analyst role that often requires strong collaboration and business acumen. The target role 'Data Analyst' might be a slight mismatch for a candidate with two PhDs and an 'Applied Scientist' role, suggesting a potential overqualification or a need for clarification on their career aspirations.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile indicates experience in research and teaching roles, which often require strong analytical and problem-solving skills, but direct evidence of collaboration, communication, or leadership in a corporate setting is limited.