Machine Learning & Bioinformatics: Building Predictive Models for Biological Data

Name: Machine Learning & Bioinformatics: Building Predictive Models for Biological Data
Brand: HS2 Academy
Price: 3750.0 USD

Total $3,750

Fall 2025 – George Mason University

Machine Learning & Bioinformatics:

Building Predictive Models for Biological Data

Program Dates: October 11, 2025 – January 3, 2026
Format: Virtual (synchronous & asynchronous)
Seats: Limited to 12 (first-come, first-served)

Tuition: $3650 + Registration Fee $100

Program Structure:

Lectures (biweekly, synchronous): Oct 11, Oct 25, Nov 8, Nov 29
Labs (asynchronous, self-paced): Oct 18, Nov 1, Nov 15, Dec 6
Optional TA Office Hours: 8 sessions, Tue/Thu evenings via Zoom
Research Paper Finalization: Dec 13 – Jan 3
Final Paper Due: Jan 3, 2026
Certification: Young Scholars Research Program Certificate in Machine Learning & Bioinformatics

Highlights:

Hands-on projects using Orange Data Mining (no coding required).
Learn supervised & unsupervised ML methods applied to biological/health data.
Research projects may include predicting disease outcomes or therapeutic peptides.
Training in data analysis, hypothesis development, experimental design, and research writing.
Final research paper published on GMU’s Schar School Young Scholars Journal and GMU Library MARS Repository.

Key Benefits:

Engage in cutting-edge AI & biomedical research.
Build skills in data-driven discovery, critical thinking, and scientific communication.
Receive mentorship from School of Systems Biology faculty.
Gain exposure to careers in biotechnology, medicine, genetics, pharmacology, and bioengineering.

Director:

Dr. Christopher Lockhart, Research Assistant Professor, School of Systems Biology

Expert in computational biology, molecular dynamics, and AI-driven peptide research.

Focuses on designing peptide-based therapeutics and studying biomolecules of medical importance.

For More Internship Program Offered