Thijs Snelleman
PhD candidate and scientific programmer at the Chair of AI Methodology of RWTH Aachen. My research interests include AutoML, geometrical deep learning and reproducibility. My thesis topic is on the reproducibility of empirical computational research and AI.
Scientific Programmer | PhD Candidate
RWTH Aachen University - Aachen, Germany
Working as Scientific Programmer on various internal projects, such as Sparkle, and joint projects such as ConfigSpace.
As PhD Candidate, most of my work is currently focused on the automation of reproducibility of computational research.
Data Scientist
Capgemini - Utrecht, The Netherlands
Data Scientist within the Insights & Data department, member of the Data Science and AI group.
Main project at the National Police, regarding personnel planning and optimisation. Responsible for data analysis, reporting tools and mobile app development for a 60k+ workforce.
M.Sc. Computer Science
Leiden University - Leiden, The Netherlands
Master specialising in Artificial Intelligence (Grade: 8.2/10, Cum Laude). Electives in Natural Language Processing (NLP), Quantum AI, (Geometrical) Deep Learning, Deep Reinforcement Learning. Thesis on automated detection of Coronary Arteries on CCTA scans using Geometrical Deep Learning, in collaboration with the Amsterdam Medical Center (AMC).
Jobs & Internships
AI Summer Intern
Provided through summerof.ai by DEUS.AI. Worked at ABN AMRO in NLP for customer service with guidance and workshops provided by Microsoft.
Machine Learning Intern
Internship on automatic analysis and extraction of key components from technical drawings to enable automated detection of errors.
Student Assistant
Teaching Assistant in Algorithms and Data Structures for first-year Computer Science Bachelor students for Prof. Dr. J.N. van Rijn. Teaching Assistant for first-year Computer Science students Introduction to Programming for Prof. Dr. W.A. Kosters. Responsibilities included instructing practicals as well as revising student's work in assignments and exams.
Data Annotator
Data annotation for NLP research concerning medical coping strategies regarding side effects of cancer related drug treatments.
Junior Software Developer
Invers - Voorburg, The Netherlands
Junior Software Developer in maintaining and improving a live system focussed on classifying transactional data for mainly business customers (B2B).
B.Sc. Computer Science
Leiden University - Leiden, The Netherlands
Thesis on algorithm comparison on a Dutch card game (“Boerenbridge”), an incomplete information card game, titled “Strategic Gambling in Diminishing Bridge”. Electives in Compiler Construction, Internet Law, Human Computer Interaction, Computer Graphics, and, Data Mining. Average grade: 7.0.
Jobs & Internships
Software Developer & Data Analyst
Software development and data analysis for social media data (Twitter). Specifically developing tools in Python/JavaScript to enable clients such as journalists to track sentiment on twitter regarding specific current topics.
Teacher High School Computer Science
High school teacher in computer science for 4th year students.