research mentor founding research assistant resume example with 5+ years of experience

(555) 432-1000,
, , 100 Montgomery St. 10th Floor
  • Led: 4 US Army Research Lab AI Material Science projects with 1 iOS app and 1 web platform (deployed), 1 AI software with its patent in Mental Health (issued), 1 statistical report in Education, 2 big data reports in Finance
  • Contributed: Over 10 NSF projects in human behavior mining
  • StudClaireg: Deep learning in self-supervision, transfer learning, and GAN
  • Published: Top Papers in NLP, CV, Big Data, and Educational Data Mining
Education and Training
Worcester Polytechnic Institute Worcester, MA Expected in 05/2023 Ph.D. : Data Science - GPA :
  • GPA: 3.9/4.0, Research Mentor and Graduate Qualifier Project Mentor
  • Advisor: Professor Elke A. Rundensteiner
  • US Army Research Lab Grant Recipent
  • NSF CEDAR Trainee
George Washington University Washington D.C., Expected in 05/2016 Master of Science : Statistics - GPA :
  • GPA: 3.7/4.0, Teaching Assistant: Business & Economics Statistics I, II
Anhui University of Finance And Economics Bengbu City, Expected in 06/2014 Bachelor of Science : Statistics - GPA :
  • GPA: 3.6/4.0, Major GPA: 3.9/4.0, Ranked in Top 1 % of Major
  • Graduation with Honor Award, Best Bachelor Thesis, Excellent Student Cadre, Champion of College Debate
  • Languages: Python, R, Javascript, HTML, Latex
  • Frameworks: PyTorch, TensorFlow, Keras, D3, OpenCV, Pandas, Numpy, Sklearn, ReactJS
  • ML Ops: Docker, Turing, Weights and Biases, Tableau, SAS, Hyper-Parameter Tuning

  • Databases: Mysql, PgAdmin, GrantaDB
  • Big Data: Hive, Xshell, Spark, CUDA
  • Project Management: GitLab, Jira, Confluence
  • Machine Learning: Causal Forests, t-SNE, Self Supervision, Domain Adaptation, Style Transfer
University Of Kansas Medical Center - Research Mentor (Founding Research Assistant)
Wichita, KS, 01/2019 - Current
  • Led and mentored over 50 students and researchers, majoring in data science, computer science, material science, statistics etc., handling 4 applied machine learning research projects on Adhesives, Corrosion, Aviation & Missile Technology, and Cold Spray sponsored by US Army Research Lab (ARL) and PPG over 3 years
  • Designed and developed a production-ready iOS APP and a Context-Aware Shared Agile Platform (ARL-CAAP) aimed at smart material discovery with Human-in-the-loop based active learning from data collection, management, advanced visual analytics, machine learning to design of experiments
  • Focused on deep learning research in material assessment and generation across indoor and outdoor experiments on small data; published top papers and mentored graduate students sponsored by ARL and NSF CEDAR program on more fellowship fundings
AI Research, Core R&D, USTC-iFLYTEK CO. - Core Technology Researcher (Intern)
City, STATE, 02/2018 - 08/2018
  • Developed 100+ high-efficient features to detect Alzheimer's Disease via patients’ Handwriting, Speech, NLP, and Facial Expression with medical doctors
  • Engined the clinical diagnoses via the subtracted features in Machine Learning models such as CART, RF, SVM, CNN with 90%+ accuracy; built a software embedding the models and issued patents with developers
  • Collaborated with research teams from MIT CISCIL and USTC on multi-modal human cognition projects
Consumer Business Group, USTC-iFLYTEK CO - Big Data Engineer (Intern)
City, STATE, 01/2018 - 02/2018
  • Created 10 effective features to assess consumers’ credits from Mobile App behaviors in 200 million daily users’ devices using Hive in Xshell on a distributed database
  • Completed a feasibility study in consumers’ Online Financial Risk Control after cleaning DMP data from Consumers’ Contexts, App behaviors, and Typed Texts using Genism Word2Vec, LDA, Scikit-learn and Seaborn
Worcester Polytechnic Institute - Research Assistant
City, STATE, 05/2016 - 12/2017
  • Proved significant business impact of a web platform to tutor K-12 students via statistical learning on 200+ Randomized Control Trials such as: human involvement, video or text hints, handwriting or typing, etc.
  • Published Heterogeneous Treatment Effects for personalized learning on the platform using causal trees and causal forest; successfully narrowed down confidence interval with massive human-related features using Hierarchical Linear Modeling, Bayesian Hierarchical Regression (Stan), and Logistic Regressions
  • Built 24 essential features based on 3 kinds of student performances on 8 types of assignments from 200+ SQL tables; well solved data cleaning issues and improved the usability of the lab database

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Resume Overview

School Attended

  • Worcester Polytechnic Institute
  • George Washington University
  • Anhui University of Finance And Economics

Job Titles Held:

  • Research Mentor (Founding Research Assistant)
  • Core Technology Researcher (Intern)
  • Big Data Engineer (Intern)
  • Research Assistant


  • Ph.D.
  • Master of Science
  • Bachelor of Science

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