プロフィール詳細

プロジェクトを作成

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Dr. Mădălina B.に依頼

Germany

Medical Research (Psychiatry) PhD | Psychology & Neuroscience Expert | Statistical & Machine Learning Methods Consultant

プロフィール概要

I am a PhD researcher in Computational Psychiatry at LMU Munich and the Max Planck Institute of Psychiatry, with expertise in psychology, neuroscience, study design, and statistical analysis, with a particular focus on machine learning tools. I specialize in helping researchers, clinicians, and students improve their manuscripts, clarify their methodology, and analyse and interpret complex data. My background includes designing and analyzing large-scale neuroimaging, behavioral, and clinical studies, leading multi-site data workflows, and publishing in high-impact journals such as Biological Psychiatry and JAMA Psychiatry. I have hands-on experience with predictive modelling, resting-state fMRI, EEG, cognitive assessment, and machine-learning-based prognostic methods. On Kolabtree, I offer: • Statistical and methodological consulting (study design, power analysis, interpretation, methods review) • Scientific editing & manuscript improvement (psychology, neuroscience, psychiatry, AI/health) • Results clarification and reviewer-response guidance • Clear, concise explanations of analytical choices for academic audiences I work efficiently, communicate clearly, and aim to make complex concepts understandable and publication-ready. I am happy to support projects at any stage, from planning to final revisions. I'm looking forward to our collaborations!

専門分野

• ★ Predictive Modeling & Analytics
• ★ Machine Learning
• ★ Magnetic Resonance Imaging (MRI)
• ☆ Neuroscience
• ☆ Cognitive Neuroscience
• ☆ Neuropsychology
• ☆ Data Analysis
• ☆ Big Data Analytics
• ☆ Statistics
• ☆ Medical Statistics
• ☆ Cognitive Science
• ☆ Matlab
• ☆ R
• ☆ Medical Imaging/Radiology
• ☆ Counseling & Mental Health Support
• ☆ Depression
• ☆ Schizophrenia
• ☆ Psychiatry
• ☆ Neuropsychiatry
• ☆ Medical Writing
• ☆ Research Summaries & Abstracts
• ☆ Medical Copywriting
• ☆ Technical & Scientific Writing
• ☆ Journal Selection
• ☆ Manuscript & Journal Article Writing
• ☆ Experimental Protocols
• ☆ SOP & Protocol Writing

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Medical Writing, General Proofreading & Editing

Research Scientific and Technical Research, Systematic Literature Review

Consulting Healthcare Consulting, Scientific and Technical Consulting

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

職務経験

PhD Candidate

Ludwig Maximilian University of Munich

4月 2021 - 現在

Doctoral researcher/Research Assistant

Ludwig-Maximilians Univerisity Munich

2月 2019 - 9月 2021

学歴

PhD Medical Research

Ludwig-Maximilians-University Munich - Germany

1月 2022 - 現在

認定資格

• Data Analytics with R Programming

  Google

  https://www.coursera.org/account/accomplishments/verify/5DT7IYMXMXQR

  9月 2025 - 現在

• Foundations of Data Science: K-Means Clustering in Python Foundations of Data Science: K-Means Clustering in Python

  University of London

  https://www.coursera.org/account/accomplishments/verify/WUDGKM01BX3J

  9月 2025 - 現在

• Practical Time Series Analysis

  The State University of New York

  https://www.coursera.org/account/accomplishments/verify/YL04K68SUSJO

  9月 2025 - 現在

• Medical Neuroscience

  Coursera (Duke University)

  https://www.coursera.org/account/accomplishments/verify/99V6QEEMHL9P

  9月 2017 - 現在

• Computational Neuroscience

  Coursera (University of Washington)

  https://www.coursera.org/account/accomplishments/verify/GP7QEH372XF9

  8月 2017 - 現在

出版物

JOURNAL ARTICLE

Madalina-Octavia Buciuman, Shalaila S. Haas, Linda A. Antonucci, Elif Sarisik, Adyasha Khuntia, Theresa Lichtenstein, Marlene Rosen, Joseph Kambeitz, Christos Pantelis, Rebekka Lencer, et al. (2025). From Snapshots to Stable Outcomes: Resting-State Functional Magnetic Resonance Imaging–Based Prognosis of Functioning in Patients With Psychosis Risk or Recent-Onset Depression . Biological Psychiatry.

Buciuman, M.-O., Oeztuerk, O.F., Popovic, D., Enrico, P., Ruef, A., Bieler, N., Sarisik, E., Weiske, J., Dong, M.S., Dwyer, D.B., et al.(2023). Structural and Functional Brain Patterns Predict Formal Thought Disorder's Severity and Its Persistence in Recent-Onset Psychosis: Results From the PRONIA Study . Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 8. (12). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1207-1217.

Dwyer, D.B., Buciuman, M.-O., Ruef, A., Kambeitz, J., Sen Dong, M., Stinson, C., Kambeitz-Ilankovic, L., Degenhardt, F., Sanfelici, R., Antonucci, L.A., et al.(2022). Clinical, Brain, and Multilevel Clustering in Early Psychosis and Affective Stages . JAMA Psychiatry. 79. (7). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 677-689.

Kaiser, J., Buciuman, M., Gigl, S., Gentsch, A., Schütz-Bosbach, S.(2021). The Interplay Between Affective Processing and Sense of Agency During Action Regulation: A Review . Frontiers in Psychology. 12.

Bîlc, M.I., Vulturar, R., Chiș, A., Buciuman, M., Nuţu, D., Bunea, I., Szentágotai-Tătar, A., Miu, A.C.(2018). Childhood trauma and emotion regulation: The moderator role of BDNF Val66Met . Neuroscience Letters. 685. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 7-11.

OTHER

Koutsouleris, N., Buciuman, M.-O., Vetter, C.S., Weyer, C.F.C., Zhutovsky, P., Perdomo, S.T., Khuntia, A., Milaneschi, Y., Popovic, D., Ruef, A., et al.(2024). Distinct multimodal biological and functional profiles of symptom-based subgroups in recent-onset psychosis . Research Square.