Hands-On Workshop: Machine Learning for Computational Biology

Fri, 08 Nov 2024 09:00:00 +0000

Workshop Overview

This intensive one-day workshop provides hands-on experience with machine learning techniques specifically designed for computational biology applications.

Learning Objectives

By the end of this workshop, participants will be able to:

Set up ML environments for biological data analysis
Implement deep learning models for protein structure prediction
Analyze genomic datasets using neural networks
Evaluate model performance and biological relevance

Schedule

9:00-10:30 AM: Introduction to ML for Biology
10:45-12:00 PM: Hands-on: Setting up DeepFold
1:00-2:30 PM: Genomic Data Analysis with Python
2:45-4:00 PM: Building Custom Neural Networks
4:15-5:00 PM: Project Presentations & Wrap-up

Prerequisites

Basic Python programming experience
Undergraduate-level biology or chemistry background
Laptop with Python 3.8+ installed
GitHub account for accessing materials

Instructors

Dr. Michael Chen - Postdoctoral researcher specializing in ML for protein structure prediction
Sarah Johnson - PhD student with expertise in genomic data analysis

Registration

Capacity: Limited to 20 participants for optimal hands-on experience
Cost: Free (materials and lunch included)
Deadline: November 1, 2024

Contact

Questions? Email or contact Dr. Michael Chen directly.

Computational Biology

Wed, 10 Jan 2024 00:00:00 +0000

Overview

We develop algorithms and tools to analyze complex biological data at scale, from genomes to proteomes, integrating multi-omics data for systems-level understanding.

Current Projects

DeepFold: AI-powered protein structure prediction
Multi-omics integration for disease subtyping
Single-cell analysis pipelines

Resources

Datasets: Public genomics repositories and lab-curated datasets
Tools: Custom pipelines built on Python, Nextflow, and cloud computing

Biology | Research Lab