founding research assistant and mentor resume example with 4+ years of experience

Jessica Claire
, , 609 Johnson Ave., 49204, Tulsa, OK 100 Montgomery St. 10th Floor
Home: (555) 432-1000 - Cell: - - -
  • Ingenious problem solver and research mentor lead over 4 US CDCC Army Research Lab (ARL) projects and significantly contributed over 10 NSF projects at Worcester Polytechnic Institute (WPI)
  • Pioneer to design and build iOS apps and web platforms while conducting interdisciplinary data research
  • Friendly, positive, and self-motivated ML researcher studClaireg deep learning on small datasets
Education and Training
Expected in 05/2023
Ph.D.: Data Science
Worcester Polytechnic Institute - Worcester, MA
  • GPA: 3.8/4.0, Research Mentor, Assistant and Graduate Qualifier Project Mentor
  • Advisor: Professor Elke A. Rundensteiner
  • US Army Research Lab Grant Recipent
  • NSF CEDAR Trainee
Expected in 05/2016
Master of Science: Statistics
George Washington University - Washington D.C.,
  • GPA: 3.7/4.0, Teaching Assistant: Business & Economics Statistics I, II
Expected in 06/2014
Bachelor of Science: Statistics
Anhui University of Finance And Economics - Bengbu City,
  • GPA: 3.6/4.0, Major GPA: 3.9/4.0, Ranked in Top 1 % of Major
  • Graduation with honor: College Graduate Excellence Award, Best Bachelor Thesis, Excellent Student Cadre, Champion of College Debate
01/2019 to Current
Founding Research Assistant and Mentor Memorial Sloan-Kettering Cancer Center Brooklyn, NY,
  • Lead and mentored over 40 members, 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 by ARL, PPG and 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, visualization to analysis
  • Focused on applied research in material assessment and generation using small datasets; published top papers on IEEE Big Data, BMVC, etc.; mentored PhD students sponsored by ARL and NSF CEDAR program to apply 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 clients’ Handwriting, Speech, Language (NLP), and Facial Expression on videos 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 and published related patents with developers
  • Well-collaborated with a MIT CISCIL related company and a Chinese national lab in USTC on multi-modal human cognition research
01/2018 to 02/2018
Big Data Engineer (Intern) Consumer Business Group, USTC-iFLYTEK CO City, STATE,
  • Fast and accurately create 10 effective features to assess online consumers’ credits from Mobile App behaviors in users’ devices (200 million daily) using Hive in Xshell on a distributed database
  • Reduced text dimensions by LDA to extract appropriate topics and applied Genism Word2Vec to subtract similar terms for specific keywords using Python
  • Successfully finished a feasibility study in consumers’ Online Financial Risk Control after cleaning iFLYTEK DMP data from Consumers’ Contexts, App behaviors, and Typed Texts using Seaborn and Scikit-learn
05/2016 to 12/2017
Research Assistant Worcester Polytechnic Institute City, STATE,
  • Proved significant business impact of a website platform to educate K-12 students using statistical learning on 200+ Randomized Control Trials such as: human involved or not, learning effectiveness via video/text hints, handwriting or typing in tutoring videos, etc.
  • Found Heterogeneous Treatment Effects on personalized learning using causal trees and causal forest; narrowed down confidence interval with massive human-related features using Subgrouping, Hierarchical Linear Modeling and Bayesian Hierarchical Regression (Stan), Logistic Regressions using 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

By clicking Customize This Resume, you agree to our Terms of Use and Privacy Policy

Your data is safe with us

Any information uploaded, such as a resume, or input by the user is owned solely by the user, not LiveCareer. For further information, please visit our Terms of Use.

Resume Overview

School Attended

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

Job Titles Held:

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


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

By clicking Customize This Resume, you agree to our Terms of Use and Privacy Policy

*As seen in:As seen in: