Sep 2024 – Sep 2027
UiT The Arctic University of Norway
PhD in Machine Learning
Fellowship at the Norwegian Center for Knowledge Driven Machine Learning (Integreat). Researching latent spaces in large language models.
Arctic, Norway
Profile
Engineer with over 19 years of computer science experience. Academic focus on Machine Learning and Deep Learning since 2012.
Currently a PhD Fellow at Integreat and UiT, researching reasoning and latent spaces in large language models.
Education
Oct 2018 – Jan 2020
University of Oxford · Mansfield College
MSc (by Research) in Engineering Science
Thesis: “Machine Learning Based Financial Statement Analysis”. Full scholarship from the Oxford-Man Institute. Completed in half the ordinary time.
Sep 2014 – Aug 2017
Vienna University of Economics and Business
BSc in Economics
Thesis: “Deep Learning Fundamental Market Valuations”. Focus on quantitative economics and econometrics. Top 1% of students.
Aug 2008 – Jul 2013
HTL St. Pölten · EDVO/Informatik
Higher Technical School in Computer Science
Thesis: “Performance optimisation of computing workloads on GPUs virtualized in the cloud”. Graduated with high distinction.
Tools & disciplines
Programming
Python, Elixir, Java, C/C++, TypeScript, SQL, Bash, Fish, Scala, Ruby, LaTeX. A particular fondness for functional programming.
Machine learning
Neural networks, Transformers, CNNs, RNNs/LSTMs/GRUs, GANs, transfer learning, random forests, and information theory.
Data science
Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, SciPy, AutoML, and natural language processing.
Statistics & econometrics
Causal inference, Bayesian methods, time series analysis, OLS, GLMs, SVMs, and Gaussian processes.
Infrastructure
Docker, Kubernetes, Terraform, AWS, Azure, GCP, CI/CD, microservices, and serverless systems.
Data engineering
PostgreSQL, Snowflake, Redshift, Airflow, dbt, vector databases, Spark, and Kafka.