Mentor Areas
- Synthetic Biology
- Computational Biology
- Microbiology
- Antibiotic Discovery
- Machine-made medicines
Description:
The Machine Biology Group aims to develop the first computer-made tools and medicines. Our approach is to expand nature’s repertoire to build novel synthetic molecular tools with useful properties, and to devise therapies that nature has not previously discovered. To achieve this, we merge synthetic biology, chemistry, physics, and computer science. We have developed new technologies ranging from genetic and pattern-recognition algorithms, to AI and classical and hybrid quantum molecular dynamics for structure-guided design and rational discovery of novel chemistries. The molecules that we are developing offer solutions to some of the most pressing unmet clinical challenges we face, ranging from finding strategies for treating antibiotic-resistant infections and engineering the human microbiome to building the first tools for the gut-brain axis to augment brain function and behavior. We are also integrating AI, electronics, app technology and synthetic biology to build inexpensive wearable and ingestible electrochemical paper-based sensors for early diagnosis and treatment of infectious diseases and for microbiome reprogramming.
Preferred Qualifications
Passionate, creative, diverse, and excited to create the future.
Project Website
Learn more about the researcher and/or the project here. De La Fuente Lab
Details:
Preferred Student Year
First-year, Second-Year, Junior, Senior
Academic Term
Fall, Spring, Summer
I prefer to have students start during the above term(s).Volunteer
Yes
Yes indicates that faculty are open to volunteers.Paid
No
Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.Work Study
Yes
Yes indicates that faculty are open to hiring work-study-eligible students.