Machine Learning for Computational Biology 4.0
Date:
29/10/2026
Organised by:
Instats
Presenter(s):
Dr. Nikolay Oskolkov
Level:
Intermediate (some prior knowledge)
Contact:
Marc Monit
marc@instats.org
Venue: Online
This PhD-level workshop provides a comprehensive overview of machine learning methods applied to computational biology and bioinformatics. Participants learn to implement from scratch and optimize algorithms such as neural networks, random forests, k-means clustering, and Markov Chain Monte Carlo (MCMC) to advance research in biostatistics, genetics, and data science
Cost:
$59 – $187 USD (depending on student, researcher/affiliate, or standard registration)
Website and registration:
Region:
International
Keywords:
Quantitative Data Handling and Data Analysis, ICT and Software, Machine Learning, Computational Biology, Bioinformatics, Biostatistics, R, Neural Networks, Random Forests, Clustering
Related publications and presentations from our eprints archive:
Quantitative Data Handling and Data Analysis
ICT and Software