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

CNNs for Style Transfer of Digital to Film Photography

M. Senghaas, A. O'Toole, P. Lardet

Finetuning and Quantizing Phi-3 Mini for MCQA

M. Senghaas, L. Cizinsky, P. Lardet

2023

Advancing Homepage2Vec with LLM-Generated Datasets for Multilingual Website Classification

M. Senghaas, L. Cizinsky, P. Nutter

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

M. Senghaas, P. Lardet, L. Cizinsky, P. Nutter, C. Bastin

Benchmarking SOT Feature Transform for Biomedical Few-Shot Learning Tasks

M. Senghaas, A. Barla, L. Cizinsky

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. Senghaas, S. Grasshof

2022

Weighted Bipartite Graph Projection Methods for a GitHub Recommender System

M. Senghaas, L. Cizinsky, L. Rasocha

Projects & Initiatives

TL;DR 📮

I enjoy reading academic papers and well-written technical blog posts. I capture the key ideas and takeaways in five concise bullet points. Sometimes, five is not enough - in that case, there is a Too Short; Want More (TSWM) button to get a more detailed summary.


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© Mika Senghaas 2024