Machine Learning and Simulation Biology Track

The Machine Learning and Simulation Biology (MLSB) track integrates machine learning, bioinformatics, and mechanistic modeling and simulation to provide students with the knowledge and skills to analyze complex biological data and systems. The track prepares students for careers in biomedical research and development, including technical and computational roles in biotechnology companies, academic medical centers, and hospitals.

SKILLS YOU'LL DEVELOP

Quantitative Methods — Develop a strong foundation in probability theory, linear algebra, differential equations, and statistics to understand the mathematical principles underlying machine learning and bioinformatics algorithms
Machine Learning — Apply supervised and unsupervised learning methods to extract meaningful insights from biological and clinical data and develop predictive algorithms to support clinical decision-making.
Bioinformatics & Computational Genomics — Apply computational and machine learning methods to analyze genomic and other omics data, identify biological patterns, and gain insights into the molecular mechanisms underlying health and disease.
Modeling & Simulation — Develop mechanistic models of biological systems, ranging from cellular signaling to the spread of infectious diseases, and learn to calibrate and validate these models using real-world data.

Application & Admissions

Admissions requirements

A bachelor’s degree with a minimum overall GPA of 3.0
Official transcripts of all undergraduate work and any previous graduate work
A completed application to Graduate Studies
Three academic letters of recommendation
Personal Statement: A one-page personal statement describing the applicant’s career goals and purpose for studying biomedical sciences and biotechnology as well as personalized medicine and health informatics
A nonrefundable application fee (waived if attending information session)

Official transcripts from all post-secondary colleges and/or universities should be emailed directly from the issuing institution to: [email protected] (preferred)

International students must meet all the requirements above and those required by International Admissions.

BSBT-MLSB only admits for the fall semester. Admission deadlines and important dates can be found under the "Admissions & Costs" tab above.

Prerequisites

This is a mathematic-heavy program. Students who apply should have taken undergraduate courses on coding and up to calculus and differential equations in mathematics.

Contact

Vitaly Kheyfets, PhD
Track Director
[email protected]

Rawaa Abdulrahman
Program Administrator
rawaa.abdulrahman@cuanschutz.edu

Graduate School

CU Anschutz

Fitzsimons Building

13001 East 17th Place

C5000

Aurora, CO 80045

303-724-2915

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