- The Quantitative Biosciences and Engineering (QBE) program provides rigorous training at the interface between biology and the mathematical, computational and engineering sciences that are the hallmark of a Mines education. We believe that some of the most transformative science and engineering happens at interfaces between topics; thus, this is the QBE program’s primary goal. This interdisciplinary program will produce the next generation of quantitatively trained scientists needed for innovation in the biological sciences and other disciplines. Like the faculty of QBE, students in the program have diverse backgrounds and life experiences and are united by their interests in biosciences and the development of novel approaches to solve real-world problems. The QBE program holistically considers topics on the life / health side of Mines’ thematic areas of Earth, Energy and Environment. This flexible program is tailored to match the needs, interests and backgrounds of all students and creates for a unique multidisciplinary culture that pervades the program.
photo courtesy of Brian Trewyn
Student Highlights and Achievements
We are excited to announce that our very own QBE majors, Praise Olusoji, Armand Ovanessians, Grant Bell, and Maya Maes-Johnson showcased their exceptional research and dedication at the Fall 2023 Undergraduate Research Symposium, earning 1st, 2nd, 3rd and the People’s Choice Award in the competition.
Last year during the Fall 2022 Undergraduate Research Symposium Aryelle Wright, Senior at the time, took 1st place in the poster awards for her poster presentation on Cationic Polymers for Nuclei Acid Therapeutics. Mentor: Dr. Ramya Kumar
We are so proud to have our students recognized two years in a row!
Check back with us for more news and updates.
- QBE Field Session tackles the unknown at the Edgar Experimental Mine
- In first Quantitative Biosciences and Engineering field session, students explore what lives deep below ground
- Quantitative Biosciences and Engineering helps students make sense of biological systems
- Mines, CSU researchers combine classical, quantum optics for super-resolution imaging