Leevi Veneranta

MSc Machine Learning student @Aalto University

You can find my resume below or optionally you can find the pdf version of my resume here.

Experience

Research Assistant

5.2022 - 8.2022

Aalto University, Department of Computer Science

Development of bayesian neural networks (BNNs) and introduction of constraints on its parameters in order to tackle the unidentifiability problem. Work included familiarizing myself with the BNN literature, development and testing of BNNs using various constraints in both variational inference and HMC setting.

Teaching Assistant

10.2020 - 4.2022

Aalto University

Part-time teaching assistant. My work included assisting students with solving course homework, presenting the model solutions and helping students understand concepts from the course. I have taught on the following courses:

  • Data Structures and Algorithms
  • Statistical Inference
  • First Course in Probability and Statistics
  • Differential and Integral Calculus 2

Research Assistant

5.2021 - 9.2021

Aalto University, Department of Computer Science

Development of 3D astronomical data visualization tools using Pyvista and Python. This includes generating movie visualizations of both scalar and vector data, e.g. by using streamline or vector visualizations in different coordinate systems.

See this post for further information and example visualizations.

Research Assistant

6.2020 - 8.2020

Aalto University, Department of Applied Physics

My primary task was to reimplement an automation framework for scanning tunneling microscopes to support a different Python API. Work included reimplementing the software to support a new API, training machine learning models using Aalto's supercomputing cluster Triton, applying the software in practice and evaluating its performance.

This summer project formed the content of my bachelor's thesis on Automation of Scanning Tunneling Microscopy using Neural Networks.

Education

MSc in Computer Science

9.2021 - 4.2023 (estimated)

Aalto University

  • Major: Machine Learning, Data Science and Artificial Intelligence
  • Completed 80 / 120 ECTS with 4.63 / 5.0 GPA, only master's thesis remaining
  • Total of 298 ECTS in 3.5 years with 4.57 GPA
  • Estimated graduation: Spring 2023

BSc in Engineering Physics

1.2019 - 12.2021

Aalto University

Skills

  • Machine Learning: TensorFlow, Pytorch, JAX, Pyro, numpyro
  • Visualization: Matplotlib, Seaborn, PyVista, Plotly
  • Databases: SQL, PostgreSQL
  • Other: Linux, Bash scripting, Git, SLURM, LaTeX, OpenMP, Cuda

Languages

  • Finnish - Native
  • English - Professional Proficiency
  • Swedish - Elementary Proficiency
  • German - Elementary Proficiency