Dylan Lu Email & Phone Number

United States

North Carolina, United States

North Carolina, United States

• Provides administrative support for biweekly Assembly (50 attendees) and Committee meetings (15 attendees), streamlining decision-making, and plans for project GRUNCH to foster networking among graduate students• Manages the GPSG office operations and coordinates student events with a focus on professionalism and engagement

Capstone Project: An Ecosystem Diagnostic Analysis of the Sargasso Sea and Costa Rica Thermal Dome Courses:• Principal of Machine Learning• Deep Learning in Biomedical Engineering (Aduit)• Predictive Modeling• Algorithm and Data Structure (Audit)• Hierarchical Modeling• Bayesian Inference• Programming (C++/C)• Theory of Statistics• Statistical Computing and Computation

North Carolina, United States

• Developed machine learning models (RFC, SVM) to predict cable testing failures, identifying 5 features for engineers to monitor, resulting in 80% true failure accuracy, enhancing the management effectiveness by 30%• Implemented data cleaning pipelines for large-scale datasets of 12,000 reels with 1,000 meters of cable each, streamlining data preprocessing for model development and created dashboard of KPI for executives• Applied SMOTE technique to address imbalanced classification, enhancing model performance by 10%• Presented analytical results to the executive management for cross-function decision making

• Guided and supported graduate-level students in "Data Science for Business" by dedicating 3 weekly hours to answering their complex questions and ensuring their mastery of critical concepts

North Carolina, United States

• Developed and submitted an innovative research paper to the prestigious Annals of Applied Statistics, focusing on the application of a cutting-edge clustering technique, the Stochastic Block Model, to significantly improve early detection and intervention strategies for mental health disorders using clinical data, neuroimage, and genetic data• Applied clustering techniques to successfully identify early-stage schizophrenia patients among mentally ill patients• Developed sophisticated algorithms to optimize the processing of 2,000 GB MRI imaging data on a computing cluster, achieving a significant 50-fold increase in efficiency, expediting data preparation for the clustering model• Fostered teamwork and collaboration by presenting analytical results during bi-weekly team meetings, working closely with scientists to guarantee the seamless integration of domain expertise and statistical modeling

• Employed regression and random forest techniques to accurately predict product performance, leveraging Python and Excel for data analysis, resulting in data-driven insights and actionable recommendations for clients• Managed sales data in a MySQL Oracle database, producing weekly KPI reports and offering revenue management insights, which informed the manager and helped the goal-setting process

Master'S Degree, Statistical Science

Activities and Societies: Basketball; Triathlon; Soccer; Badminton

Bachelor Of Science - Bs, Statistics (Second Major In Mathematics), Gpa: 3.7/4.0

Activities and Societies: Badminton Club; Go Club.• Dean’s List (All Semesters) • Tau Sigma National Honor Society