Mika Senghaas Avatar
Hi 👋🏻, I'm Mika. I am a master student and research assistant in data science at EPFL.

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I spent my summer in Addis Ababa, Ethiopia 🇪🇹

I was part of the amazing team that ran AddisCoder 2024. Read more about my journey of a month in Ethiopia, where we taught the country's most talented high schoolers write their first lines of code in Week 1 and solve complex dynamic programming problems in Week 4.

AddisCoder

Research

2024

Size Does Not Matter - A Data-Centric Approach to Fine-Tuning Phi-3

Sillystill - Recreating the look of Cinestill-800T using Deep Learning

2023

Advancing Homepage2Vec with LLM-Generated Datasets for Multilingual Website Classification

M. SenghaasL. CizinskyP. Nutter

Unlocking the Palate - A Data-Centric Approach to Understanding Beer Descriptors

M. SenghaasP. LardetL. CizinskyP. NutterC. Bastin

Benchmarking SOT Feature Transform for Biomedical Few-Shot Learning Tasks

Deep Learning Methods for Mutagenicity Prediction in Chemical Compounds

M. Senghaas

Navigating Indoors with Computer Vision - Deep Learning Approaches for Room-Level Indoor Localisation

M. SenghaasS. Grasshof

2022

Weighted Bipartite Graph Projection Methods for a GitHub Recommender System

Projects & Initiatives

TLDR 📮

I enjoy reading academic papers and well-written technical blog posts. I capture the key ideas and takeaways in five concise bullet points, and collect them here.


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© Mika Senghaas 2024