research mentor resume example with 5 years of experience

Jessica Claire
, , 100 Montgomery St. 10th Floor (555) 432-1000,
  • Ingenious problem solver and research mentor lead over 4 US Army Research Lab (ARL) projects and significantly contributed over 10 NSF projects at Worcester Polytechnic Institute (WPI)
  • Friendly and self-motivated researcher on small datasets via human prior, self-supervision, and transfer learning
  • Pioneer to design and build iOS apps and web platforms while conducting interdisciplinary data research
Education and Training
Expected in 05/2024 to to Ph.D. | Data Science Worcester Polytechnic Institute, Worcester, MA GPA:
  • GPA: 3.9/4.0, Research Mentor (Founding Research Assistant) and Graduate Qualifier Project Mentor
  • Advisor: Professor Elke A. Rundensteiner
  • US Army Research Lab Grant Recipent
  • NSF CEDAR Trainee
Expected in 05/2016 to to Master of Science | Statistics George Washington University, Washington D.C., GPA:
  • GPA: 3.7/4.0, Teaching Assistant: Business & Economics Statistics I, II
Expected in 06/2014 to to Bachelor of Science | Statistics Anhui University of Finance And Economics, Bengbu City, 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
01/2019 to Current Research Mentor Texas Christian University | Fort Worth, TX,
  • Lead and mentored over 40 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 CDCC Army Research Lab and PPG to WPI over 2 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 applied computer vision research in material assessment and generation across indoor and outdoor experiments on small data; published top papers on IEEE Big Data, BMVC, etc.; mentored graduate students sponsored by ARL and NSF CEDAR program to work on more fellowship fundings
02/2018 to 08/2018 Core Technology Researcher (Intern) AI Research, Core R&D, USTC-iFLYTEK CO. | City, STATE,
  • Deliberately developed 100+ high-efficient features to detect Alzheimer's Disease via patients’ Handwriting, Speech, Language (NLP), and Facial Expression on videos (Computer Vision) with medical doctors
  • Proficiently 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 published patents with developers
  • Well-collaborated with research teams from MIT CISCIL and USTC on multi-modal human cognition projects
01/2018 to 02/2018 Big Data Engineer (Intern) Consumer Business Group, USTC-iFLYTEK CO | City, STATE,
  • Fast and accurately created 10 effective features to assess online 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
05/2016 to 12/2017 Research Assistant Worcester Polytechnic Institute | City, STATE,
  • 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 Subgrouping, Hierarchical Linear Modeling and Bayesian Hierarchical Regression (Stan), Logistic Regressions in R/Python
  • Efficiently 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
  • 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

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


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

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