プロフィール詳細

プロジェクトを作成

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Evan L.に依頼

Netherlands

Computational cognitive neuroscientist | Expert in EEG, statistics & data analysis

プロフィール概要

Computational Cognitive Neuroscientist | EEG Specialist | Data Analyst I am a computational cognitive neuroscientist with a PhD in neuroscience from the University of Cambridge (completion June 2025) and extensive expertise in the study of altered states of consciousness, particularly the neural and phenomenological effects of psychedelics. My work integrates advanced EEG methodologies, data analysis, and programming to uncover the brain's dynamic activity patterns during complex cognitive states. Core Expertise: - EEG Data Analysis: Comprehensive experience in preprocessing, artifact removal, and advanced signal processing techniques. - Programming and Automation: Proficient in Python and MATLAB for data processing, visualization, and statistical modeling. - Machine Learning and Feature Selection: Skilled in implementing machine learning techniques for neural data. - Neurophenomenology: Specialized in combining subjective experience measures with neural data to explore the dynamic relationship between brain activity and consciousness. - Statistical Expertise: Advanced knowledge of parametric and non-parametric statistics, linear mixed models, and ANOVA for neuroscientific research. Key Achievements: - Conducted a groundbreaking study on the neural correlates of DMT-induced altered states, leveraging EEG measures like permutation entropy, lempel-ziv complexity, oscillatory power, and connectivity. - Developed and implemented robust Python/MATLAB pipelines for real-time and offline EEG data analysis in complex experimental paradigms. - Presented research findings at international conferences and published in peer-reviewed journals, highlighting my ability to communicate complex ideas effectively. Consultancy Services: - EEG experimental design, data analysis, and interpretation. - Custom Python/MATLAB script development for neural data analysis. - Machine learning applications for neuroscience. - Statistical consultation and visualization for academic and industrial projects. - Training and workshops on EEG methodologies and data analysis. - Write literature reviews for a product or service you provide. - Write whitepapers for a product or service you provide. - Discuss the logistics of projects including milestones. - Present results to clients as a representative of the company/organisation. I am passionate about bridging academic insights with practical applications, helping businesses and research teams leverage cutting-edge neuroscience methods to drive innovation. Whether you need assistance with data analysis, experimental design, or interpreting complex EEG data, I bring a collaborative and results-driven approach to every project.

専門分野

• ★ Cognitive Neuroscience
• ★ Psychology
• ★ Technical & Scientific Writing
• ☆ Neuroscience
• ☆ Computational Neuroscience
• ☆ Neuropsychology
• ☆ Cognitive Science
• ☆ Clinical Psychology
• ☆ Phenomenology
• ☆ Matlab
• ☆ Drug Development
• ☆ Neuropsychiatry
• ☆ Psychopharmacology
• ☆ Complementary & Alternative Medicine
• ☆ Meditation
• ☆ Psychoactive Drugs
• ☆ Science Communication

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Medical Writing, Technical Writing, Copywriting, Newswriting

Research Feasibility Study, Fact Checking, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Data Visualization, Big Data Analytics, Data Processing

職務経験

Freelance Scientific Consultant

Various

9月 2020 - 現在

Freelance Scientific Writer

Various Companies

9月 2018 - 現在

学歴

PhD in Psychology

UNIVERSITY OF CAMBRIDGE

9月 2021 - 現在

Brain and Cognitive Sciences

Universiteit van Amsterdam

8月 2018 - 現在

BSc Psychology (1st Class)

University of Sheffield

9月 2013 - 7月 2016

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Evan Lewis-Healey, Ruben Laukkonen, Michiel van Elk(2022). Future directions for clinical psilocybin research: The relaxed symptom network . Psychology & Neuroscience. American Psychological Association ({APA})

PREPRINT

Evan Lewis-Healey, Ruben Laukkonen, Dr., Luca Ghigliotti, Nasim Daneshtalab, Heleen A Slagter (2022). Tracking rivalry with neural rhythms: Multivariate SSVEPs reveal perception during binocular rivalry .

Evan Lewis-Healey, Ruben Laukkonen, Dr., Michiel van Elk(2021). Future Directions for Clinical Psilocybin Research: The Relaxed Symptom Network . Center for Open Science