Mathew Divine - Data Science Expert and AI Strategist

Q: Where is Mathew based?

Mathew is based in Schlangenbad, Germany and can operate in on-site , hybrid , and remote work models.

Q: What languages does Mathew speak?

Mathew speaks the following languages: English (Native), German (Advanced) .

Q: How many years of experience does Mathew have?

Mathew has at least 15 years of experience. During this time, Mathew has worked in at least 6 different roles and for 4 different companies . The average length of individual experience is 2 years and 7 months . Note that Mathew may not have shared all experience and actually has more experience.

Q: What is Mathew's latest experience?

Mathew's most recent position is Data Science Expert and AI Strategist at Freelancer .

Q: What companies has Mathew worked for in recent years?

In recent years, Mathew has worked for Freelancer , Boehringer-Ingelheim , and BI X GmbH .

Q: Which industries is Mathew most experienced in?

Mathew is most experienced in industries like Education , Healthcare , and Pharmaceutical . Mathew also has some experience in Biotechnology , Information Technology (IT) , and Professional Services .

Q: Which business areas is Mathew most experienced in?

Mathew is most experienced in business areas like Research and Development (R&D) , Product Development , and Business Intelligence . Mathew also has some experience in Information Technology (IT) and Human Resources (HR) .

Q: Which industries has Mathew worked in recently?

Mathew has recently worked in industries like Pharmaceutical , Biotechnology , and Information Technology (IT) .

Q: Which business areas has Mathew worked in recently?

Mathew has recently worked in business areas like Product Development , Business Intelligence , and Research and Development (R&D) .

Recommended expert

Schlangenbad, Germany

Experience

Jan 2024 - Present

2 years 2 months

Hybrid

Data Science Expert and AI Strategist

Freelancer

Built an API to ingest, clean, translate, and index EU tenders documents in Neo4j, enabling hybrid search with RAG and Cypher queries via a Streamlit dashboard
Deployed the API on AWS Lightsail container services with CI/CD automation via GitHub Actions, ensuring stability through pytest unit and integration tests
Designed and developed a comprehensive online course on data analysis using ChatGPT for professionals and learners, creating instructional videos and interactive Jupyter notebooks
Utilized OBS and professional audio equipment to ensure high-quality video and audio content
Led a CRM data normalization and cleaning project visualized via a Sankey diagram to aid customer understanding and pipeline development
Implemented and validated a genAI-driven web crawling strategy on AWS, ensuring data quality, scalability, and CRM data augmentation

Aug 2021 - Dec 2023

2 years 5 months

Head of Digital Lab (CD&O)

Boehringer-Ingelheim

Led an 8-person cross-functional team, embedding MLOps best practices to streamline AI-driven cloud deployment and operational execution
Developed end-to-end cloud-based ML workflows, aligning business objectives with technical strategy to reduce time-to-market
Established processes for empowered decision-making and drove agile execution across AI product development
Upskilled team on design thinking methodologies, AI strategy, and qualitative user research
Conducted process mapping and qualitative analysis to define AI-driven business use cases and automated document processing
Led PoCs on LLM-driven document generation, translation, and redaction, and performed market scouting and vendor analysis to streamline RfP processes
Advised on LLM prompt engineering, prompt chaining, and RAG architecture and deployed an interactive cloud-native Streamlit prototype
Served as Product Owner for an AI-driven analytics dashboard, integrating recommendation systems and cognitive search, defining vision, roadmap, and backlog grooming

Jan 2021 - May 2021

5 months

Interim Head of Data Science

BI X GmbH

Coached and developed a self-organized team of 9 data scientists, ensuring quality of deliverables across initiatives
Collaborated with BI X leadership and product owners to identify and remove blockers via weekly calls
Managed staffing for new initiatives and internal hiring within budget and tight timelines

Jan 2018 - Jul 2021

3 years 7 months

Senior Data Scientist

BI X GmbH

Led the development of ultra-fast de novo genome assembly bioinformatics pipelines on AWS, leveraging AWS CDK for infrastructure and services orchestration
Developed ETL processes in Python on the cloud to produce a clinical data catalogue integrating clinicaltrials.gov and in-house data, normalizing data via ontologies and enabling semantic search within a knowledge graph
Led a hackathon project to gamify NLP annotation for entity relationship models via a web app, creating knowledge resources and guiding data scientists through NLP pipelines
Conceptualized a bespoke knowledge management system PoC, conducting qualitative user research with over 60 personnel, developing prototypes with open-source NLP algorithms for question answering and topic modeling
Created a PoC for generating novel compounds using SMILES and genAI for an interactive lead optimization web app
Developed an NGS validation pipeline in AWS comparing short-read sequencing to long-read assembly, resulting in 16 genetic leads
Participated in interdisciplinary hackathons and data science initiatives applying generative AI to medicinal molecule generation

Apr 2016 - Dec 2017

1 year 9 months

Research Scientist, Radiogenomics

Eberhard Karls University Tübingen

Collected, aggregated, and analyzed high-dimensional NGS, medical imaging, and gene annotation datasets from clinical trials in hepatocellular carcinoma
Created workflows for curating NGS datasets with multiple online databases and extracted radiomics features, using heatmaps, clustering, and protein interaction networks for visualization
Developed and containerized algorithms for genetic variation report creation to support oncologist therapy decisions
Conceptualized explainable AI visualizations using parallel coordinates for neural network hidden layers and advised on interactive web app development
Designed an interactive transfer-learning web app for neural network architecture creation, training, and hyper-parameter optimization
Mapped molecular imaging and NGS data to KEGG protein-protein interaction networks to reduce dimensionality and analyze disrupted pathways

Mar 2010 - Mar 2016

6 years 1 month

Research Fellow, Oncology (WSIC)

Eberhard Karls University Tübingen

Co-developed a Gaussian mixture modeling pipeline integrating PET and DW-MRI data for tumor microenvironment segmentation and demonstrated correlation between ADC and 18F-FDG values
Initiated a multiparametric MRI unsupervised segmentation study validated against histology for necrotic, peri-necrotic, and viable tissue quantification
Explored spectral clustering techniques for tumor heterogeneity assessment in dynamic 18F-FDG PET studies, validating against simulations and existing methods
Developed multi-view learning classifiers for spatial intratumoural heterogeneity characterization using dynamic PET and multiparametric MRI, demonstrating phenotypic quantification and clinical applicability

Summary

I am a seasoned Data Scientist with over a 15+ years of experience in both traditional machine learning and generative AI in the biomedical and Pharma domains. With a strong foundation in AI strategy, design thinking facilitation, and qualitative user research, I excel in translating complex data analysis into actionable business insights. My expertise includes developing and integrating cutting-edge AI models into business strategies and technical solutions in the cloud, ensuring high-quality outcomes. I have a proven track record of mentoring teams, conducting training, and driving digital transformation initiatives that result in significant cost savings and operational efficiencies. My approach is grounded in collaboration, fostering a culture of innovation and growth. I am dedicated to leveraging AI to solve complex problems and deliver measurable results.

Languages

English

Native

German

Advanced

Education

Mar 2010 - Mar 2016

Werner Siemens Imaging Center (WSIC), Eberhard Karls University Tübingen

Doctorate in Molecular Imaging, Dr. sc. hum. · Molecular Imaging · Tübingen, Germany

Oct 2007 - Feb 2010

Rheinisch-Westfälische Technische Hochschule (RWTH), Aachen

Masters in Biomedical Engineering · Biomedical Engineering · Aachen, Germany

Sep 2002 - May 2007

Midwestern State University (MWSU)

Bachelors in Physics and Mathematics · Physics and Mathematics · Wichita Falls, United States

Certifications & licenses

Casual Inference Workshop

Harvard Medical School

1-on-1 Management Coaching

Consulting Impact, Daniel Zacher

Executive Education

Harvard Medical School

Design Thinking Facilitator Training

WeAreNeon

Profile

Created

August 2024

Last Update

October 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Mathew based?

Mathew is based in Schlangenbad, Germany and can operate in on-site, hybrid, and remote work models.

What languages does Mathew speak?

Mathew speaks the following languages: English (Native), German (Advanced).

How many years of experience does Mathew have?

Mathew has at least 15 years of experience. During this time, Mathew has worked in at least 6 different roles and for 4 different companies. The average length of individual experience is 2 years and 7 months. Note that Mathew may not have shared all experience and actually has more experience.

What roles would Mathew be best suited for?

Based on recent experience, Mathew would be well-suited for roles such as: Data Science Expert and AI Strategist, Head of Digital Lab (CD&O), Interim Head of Data Science.

What is Mathew's latest experience?

Mathew's most recent position is Data Science Expert and AI Strategist at Freelancer.

What companies has Mathew worked for in recent years?

In recent years, Mathew has worked for Freelancer, Boehringer-Ingelheim, and BI X GmbH.

Which industries is Mathew most experienced in?

Mathew is most experienced in industries like Education, Healthcare, and Pharmaceutical. Mathew also has some experience in Biotechnology, Information Technology (IT), and Professional Services.

Which business areas is Mathew most experienced in?

Mathew is most experienced in business areas like Research and Development (R&D), Product Development, and Business Intelligence. Mathew also has some experience in Information Technology (IT) and Human Resources (HR).

Which industries has Mathew worked in recently?

Mathew has recently worked in industries like Pharmaceutical, Biotechnology, and Information Technology (IT).

Which business areas has Mathew worked in recently?

Mathew has recently worked in business areas like Product Development, Business Intelligence, and Research and Development (R&D).

What is Mathew's education?

Mathew holds a Doctorate in Molecular Imaging from Werner Siemens Imaging Center (WSIC), Eberhard Karls University Tübingen, a Master in Biomedical Engineering from Rheinisch-Westfälische Technische Hochschule (RWTH), Aachen and a Bachelor in Physics and Mathematics from Midwestern State University (MWSU).

Does Mathew have any certificates?

Mathew has 4 certificates. Among them, these include: Casual Inference Workshop, 1-on-1 Management Coaching, and Executive Education.

What is the availability of Mathew?

Mathew is immediately available full-time for suitable projects.

What is the rate of Mathew?

Mathew's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.