Portrait of Thomas Lukaschewski

About Thomas Lukaschewski

A research-trained guide for complex work with people and AI.

I combine doctoral research in neuropsychology with university teaching, empirical methods, coaching, and practical Human-AI workflow design. The common thread is simple: make difficult work clear enough to use, explain, and defend.

Doctoral Candidate, Neuropsychology and Behavioral ScienceEmpirical Research, Teaching and CoachingHuman-AI Workflows, Creative Experimentation

Background

Research rigor meets practical experimentation.

Thomas is completing doctoral research in neuropsychology at Ruhr University Bochum. His work examines self-incongruence in autobiographical memory, including shame, guilt, visual perspective, and narrative meaning.

His research experience spans longitudinal diary work, experimental paradigms, quantitative and qualitative analysis, mixed models in R, semantic and narrative measures, and training in EEG and fMRI methods. A diary study on shame and autobiographical memory was published in Memory in 2023.

Teaching and supervision sharpened another part of the method: helping people understand the logic behind a decision well enough to use and defend it themselves. That principle now also shapes the AI coaching, research workflow, and creative project work.

Relevant expertise

Expertise translated into decisions clients can use.

Human judgment

Neuropsychology and behavioral science help identify where people, context, emotion, and cognitive limits matter.

Defensible methods

Research design, R, quantitative and qualitative analysis, interpretation, and transparent reporting turn questions into testable work.

Capability building

University teaching, supervision, and coaching focus on understanding that remains useful after the session.

Applied Human-AI work

Workflow design and creative experimentation translate tools into bounded, reviewable, human-owned processes.

Responsible AI in Europe

Rules matter because workflows are operational.

The EU AI Act is part of the operational landscape and includes risk-based requirements and AI-literacy obligations. We can discuss practical implications for staff understanding, human oversight, and tool use. This is general orientation, not legal advice or compliance certification.

A grounded next step

Need clear structure for a difficult task?

The intake is short, and the fit call only happens when the project appears suitable.

Request a fit call