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I am a postdoctoral research scientist at University of Helsinki.
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My expertise is cracking the code of tiny life forms. (Genomic and transciptomic data analysis of bacteria and viruses). However, I have also worked with data from human, seal, and butterfly.
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Currently, I am involved in several projects with a primary focus on population genomics for silver birch tree breeding. We aim to create genomic prediction models for silver birch tree breeding. The model will help to improve breeding efficiency of silver birch trees.
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I love creating interactive web browser-based visualizations for my scientific data. For example;
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Do you need to trim adapter+barcode sequences from your Pacbio HiFi reads ?
- Then, you can utilize my Python-based bioinformatics tool HiFiAdapterTrimmer
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Feel free to explore my scientific papers on my Google scholar profile
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🌱 I’m currently learning Full Stack development via FullStackOpen course. Follow my progress, and check my exercises at my exercises github repository dedicated to exercises.
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📊 Machine learning and data science are my passions. I enjoy sharpening my skills on the Kaggle platform, where I participate in various competitions. You can see my achievements on my Kaggle profile
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I have completed Data Scientist Career Path at Codecademy. Where I learned:
- How to acquire, manipulate, wrangle, and tidy data using SQL and Python.
- How to visualize data using matplotlib, seaborn, and plotly.
- How to analyze data using pandas, numpy, scipy, and statsmodels.
- How to design experiments and test hypotheses using inferential statistics and causal inference.
- How to build and evaluate machine learning and deep learning models using scikit-learn, TensorFlow, and Keras.
- Check my codecademy exercises at my codecademy exercises github repository.
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I’m also interested in cloud computing. In fact, I have recently earned the Azure AI Fundamentals certification.