Lina Wang

Experience

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  Xiamen University

  Sept 2011 - Dec 2015

  Research Assistant

  Main role: Executed water quality and ecosystem modeling simulation using high performance computing resources and technology• Actively engaged in National funded projects; extracted, compiled and validated in situ data for model validation; graphed the basic statistics, and presented results to audiences with different levels.• Developed and programmed a 3D coupled model for water ecosystem projects; Estimated water exchange rate and identified its seasonal characteristics in Beibu Gulf; published the results in natural science Journal.• Independently established a Lagrangian Particle Tracking system to hindcast/forecast pathways of marine debris, detected 90% of gulf debris origins, oversaw and advised local government for marine environment improvement.• Estimated the effect of hurricane waves and storm surge on coastal water transport by coupled SWAN (Simulating Waves Nearshore) and 3D hydrodynamic model. Show less

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  University of Delaware

  Jan 2016 - May 2020

  Main role: Partnered and worked closely with Australian and Chinese research groups to conduct research on climate change study;• Completed NASA and National funded grants valued over $2 million; contributed 2 new findings and published 3 articles as first author in high-impact scientific Journals.• Developed a new framework within MATLAB for monitoring global climate change using statistical decomposition methods; identified the physical mechanisms of decadal variability in Southern Ocean warming, contributing to prediction system calibration.• Conceived and demonstrated a new insight into Ocean responses to global warming, by building multiple linear regression models, performing quantification and time series analysis on Word Ocean Database (WOD).• Managed and conducted statistical analysis on large scale Satellite database (Reanalysis, Remote sensing, Argo) and model simulations using MATLAB; quantified the contribution of internal and external climate variability in modulating the global surface temperature (GST) change.• Provided ongoing reports and presented research in academic conferences (e.g. 2016 AGU meeting).• Supervised one undergraduate for summer project.• Forecast and quantified the relationship between global surface temperature change and ocean heat uptake; found that Pacific and Atlantic Oceans together drives the global warming slowdown during 2003-2012. Show less

  • Teaching Assistant

    Sept 2019 - May 2020

  • Research Assistant

    Jan 2016 - Aug 2019
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  Corteva Agriscience

  Jul 2020 - Dec 2020

  Statistician

  Main role: Managed large scale datasets, performed model simulations and statistical analysis via R and SAS/SQL to facilitate biological research and development in crop protection.• Developed and performed linear mixed models, with multiple comparison tests on soil qualification; presented and guided field scientists with identifying the root cause and insights for crop protection.•Built linear mixed models by SAS PROC MIXED/GLIMMIX to evaluate larval survival on leaf tissue; clearly and concisely explained the analytical findings to audience with different levels.• Identified the effect of larval behavior on pest resistance by creating Excel Pivot Tables, VBA and linear model building.• Conducted ANOVA tests, does-response, power analysis, etc., on the drought tolerance of corn to improve crop yield.• Managed large scale field datasets using R and SAS/SQL to generate descriptive statistics tools (frequency table/stacked bar chart,heat map, efficacy summary, geographical analysis), greatly improved biological research and development in crop protection. • Independently wrote 12 model documentations and user manuals for R-Shiny statistical tools; routinely utilized for 600+ agricultural scientists hand-on training in US & European regions.• Hosted coffee break and frequently communicated with manager and team leaders to boost project success. Show less

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  Citi

  Jun 2021 - Sept 2023

  VP, Business Analytics Lead Analyst

  -Manage and execute fraud analytics and strategies to support Fraud Operations and Customer Experience.-Lead development of effective fraud strategies to mitigate loss from POS mode based risks.-Leverage data to identify fraud trends, design and implement strategies to prevent and mitigate fraud attacks.-Develop offline scanners and strategies based on real-time engines to detect fraud applications and manage risks.-Collaborate with cross-functional teams to provide strategy recommendations based on data and trend analysis, and recommend appropriate actions.-Leverage analytics and recommended strategies for tightening within risk appetite, influencing key business decisions.-Ownership and management of fraud rules, scores, and detection strategies, Risk appetite execution, POS interdiction strategies and defect analysis.-Document change briefs to ensure Fraud strategies are in compliance with Model Risk Management (MRM) Show less