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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: - resumesample@example.com - -
Summary
  • 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:
  • GPA: 3.8/4.0, Research Mentor, Assistant and Graduate Qualifier Project Mentor
  • Advisor: Professor Elke A. Rundensteiner https://daisy.wpi.edu
  • US Army Research Lab Grant Recipent https://arl.wpi.edu
  • NSF CEDAR Trainee https://wp.wpi.edu/cedar
Expected in 05/2016
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
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: College Graduate Excellence Award, Best Bachelor Thesis, Excellent Student Cadre, Champion of College Debate
Experience
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
Skills
  • 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:

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

Degrees

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

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