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Phd student in computational biology
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Boston University
Master of Science (M.S.), Mathematics and Statistics
January 1, 2016 – January 1, 2018
Xiamen University
Bachelor's degree, Statistics
January 1, 2012 – January 1, 2016
University of California, Berkeley
Phd Student in Computational Biology
August 1, 2021 – Present
Berkeley, California, United States
Intellia Therapeutics, Inc.
Associate Computational Scientist
January 1, 2020 – February 1, 2021
Cambridge, Massachusetts, United States
Boston University
Bioinformatics Analyst
May 1, 2018 – December 1, 2019
Boston, Massachusetts
Boston University
Teaching Assistant
January 1, 2017 – May 1, 2017
Boston University
Research Assistant
October 1, 2016 – January 1, 2018
Recommender System Project
February 1, 2017 – May 1, 2017
• Built a recommender system alongside with another 2 students to recommend grocery store products using consumer expenditure data through market basket analysis (Apriori algorithm) • Won a Boston University data challenge to present project at JSM, the largest Statistical conference in North America
Statistical Analysis Project (Causal Inference to Infer the Benefit of Geriatric Care)
October 1, 2016 – January 1, 2017
• Extracted data from large database on AWS (EC2) • Matched two Medicare patient groups (with geriatric care, without geriatric care) using demographic data through PSM (propensity score matching) • Performed a statistical test that compared Medicare system cost for the two patient groups to draw causal relationship
Statistical Analysis Project (Analysis of Alzheimer Patients)
March 1, 2016 – May 1, 2017
• Used SQL to process data from large database on AWS (EC2) • Used Data Mining techniques to find diseases related to Alzheimer’s • Conducted trajectory analysis to find disease patterns, example: what diseases are associated or could potentially lead to
Cultural Fit Analysis
The candidate's background is heavily academic and research-focused, with roles at universities and a therapeutics company. While the projects align with data analysis, the overall experience leans towards bioinformatics and computational biology. The transition to a pure Data Analyst role would require assessing their business acumen and experience with typical industry data analysis challenges beyond research. The diversity of projects shows adaptability in applying statistical methods to different domains (consumer data, healthcare, genomics, social science).
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work in teams (Recommender System Project) and a strong research-oriented mindset. The teaching assistant role suggests communication and mentorship skills. However, specific soft skills like leadership, conflict resolution, or project management are not explicitly detailed in the provided data.