プロフィール詳細

プロジェクトを作成

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Maria V. R.に依頼

United States

Freelance Statistician & Data Analyst | Expert in Python & Experimental design

プロフィール概要

Expert on experimental design and data analysis with over 10 years of experience analyzing EEG data, as well as Google Analytics, user behavior data, and more recently with orchestrating agents.

専門分野

• ★ Signal Processing
• ★ Data Analysis
• ★ Python
• ☆ Neuroscience
• ☆ Electrical Engineering
• ☆ Computer Simulation/Computational Modeling
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Data Collection
• ☆ Data Management
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Data Cleaning
• ☆ Neural Networks
• ☆ Statistics
• ☆ Statistical Theory
• ☆ Applied Statistics
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Correlation Analysis
• ☆ Matlab
• ☆ Excel
• ☆ Tensorflow
• ☆ LaTex
• ☆ Scikit-learn
• ☆ Markup Languages

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research Market Research, User Research, Meta-Research, Feasibility Study, Technology Scouting, Fact Checking, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

Neuroscientist

AWEAR

12月 2025 - 現在

Senior Research Engineer

Neurable

8月 2020 - 7月 2025

学歴

PhD in Neuroscience

State University of New York at Binghamton - United States

9月 2014 - 5月 2020

Biomedical Engineering

State University of New York at Binghamton - United States

9月 2012 - 5月 2014

Electrical Engineering

Pontificia Universidad Católica del Perú - Peru

3月 2004 - 12月 2010

認定資格

• Artificial intelligence

  Stanford University

  https://digitalcredential.stanford.edu/check/70265772B541732A7C2600CB3DBBC586ABD1E7E3A82C3E7343B777EB5417FBACT0x0RW0yK0JIWGdXY2tUVmtPVHdOU0RSbVVSZDlDME44ZkR3cjgwRE5nUEluWCtj

  1月 2022 - 現在

出版物

JOURNAL ARTICLE

Qiong Gui, Maria V. Ruiz-Blondet, Sarah Laszlo, Zhanpeng Jin (2019). A Survey on Brain Biometrics . ACM Computing Surveys.

Maria V. Ruiz-Blondet, Zhanpeng Jin, Sarah Laszlo (2017). Permanence of the CEREBRE brain biometric protocol . Pattern Recognition Letters.

Maria V. Ruiz-Blondet, Zhanpeng Jin, Sarah Laszlo (2016). CEREBRE: A Novel Method for Very High Accuracy Event-Related Potential Biometric Identification . IEEE Transactions on Information Forensics and Security.

Blair C. Armstrong, Maria V. Ruiz-Blondet, Negin Khalifian, Kenneth J. Kurtz, Zhanpeng Jin, Sarah Laszlo (2015). Brainprint: Assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics . Neurocomputing.

Sarah Laszlo, Maria Ruiz-Blondet, Negin Khalifian, Fanny Chu, Zhanpeng Jin (2014). A direct comparison of active and passive amplification electrodes in the same amplifier system . Journal of Neuroscience Methods.