NeoRetro CV | Daniel Lindh, PhD

Professional Summary

Senior Data Scientist and AI Engineer with a PhD in Cognitive Neuroscience and a strong foundation in machine learning, large language models, and data-driven health research. Experienced in building AI products from prototype to production using AWS, Python, and cloud-native technologies. Combines deep expertise in cognitive science and neuroscience with modern AI to develop user-centered, evidence-based systems.

Professional Experience

NOWATCH – Amsterdam, Netherlands

2024–Present

Senior Data Scientist & AI Engineer

Lead development of AI-driven health insights integrating stress, recovery, sleep, and activity data.
Built and deployed modular AWS Lambda + Step Function pipelines for AI-generated user reports.
Designed stress classification algorithms and "dominant state" logic using physiological data.

Python AWS Lambda Step Functions Bedrock/Anthropic

Learnwise – Remote

2023–2024

AI Engineer & Data Scientist

Built LLM testing and evaluation platforms for universities.
Created semantic clustering pipeline using embeddings and UMAP.
Integrated LLM analytics directly into GitHub repositories for educational use.

Python OpenAI API Hugging Face FastAPI

Selected Research Projects

▹ Attentional Blink Study: Designed immediate response paradigm and applied drift diffusion modeling.
▹ Visual Object Recognition: Used CNNs as computational models of human visual recognition.
▹ Affective Physiology Study: Predicted attraction during blind dates using heart rate and pupil dilation data.

Education

PhD in Cognitive Neuroscience

University of Amsterdam & University of Birmingham

Research Master in Cognitive Neuroscience

University of Amsterdam

Bachelor in Cognitive Science

University of Skövde, Sweden

Technical Skills

Languages

Python MATLAB R SQL

Machine Learning

CNNs LLMs Bayesian Forecasting

Tools

AWS Docker FastAPI Streamlit

Contact

your.email@example.com

linkedin.com/in/yourprofile

github.com/yourusername