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Home2019-07-12T17:28:01+00:00

DNA is the new silicon.

– Jean Peccoud

Today’s most pressing challenges are the result on an unsustainable reliance on synthetic chemistries. Synthetic biology will provide innovative paths to enduring health, food security, and sustainable energy. Traditional methods in biology are inadequate to face the magnitude and urgency of the solutions needed. These challenges call for a cultural revolution that leverages contributions from biology, engineering, manufacturing, and computer sciences to catalyze the emergence of creative solutions.

Our approach

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Whether you are interested in joining our team, collaborating, or taking advantage of our capabilities; we want to hear from you!

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“Before working as a graduate student in Dr. Peccoud’s Lab I was an undergraduate student in his senior design group. Over the past year I have gained such valuable research experience and witnessed the vast amount of coordination it takes to run a high throughput lab. My time working for the Peccoud Lab was a big growth period. Every member of the lab is encouraging and passionate about what they are doing. Working in the lab was a challenge for me and the result of that was an improvement in my studies and research skills. I will miss being part of the Peccoud Lab and the amazing work that they do.”

SARAH CONDIO

“I was a visiting graduate student in Dr. Peccoud’s group for over a year. I had the opportunity to learn a great deal about a field in which I had no previous experience. Dr. Peccoud excels in putting together diverse groups of people to work on interdisciplinary projects. He is both dedicated and passionate about his work, and he inspires and energizes people in his group to do excellent work. I enjoyed my time at VBI and hope to work with Dr. Peccoud again in the future.”

REBECCA SHELTON

Latest News

Synthetic Biology Training Paper

Government personnel responsible for the security of life sciences infrastructures are often not formally trained in biological sciences and relevant scientific fields. Although the security sector works together with the scientific community, the rapid pace of life sciences innovations, evolving terminologies, and shifts in research culture makes it challenging [...]

EBRC Membership

In the fall of 2018, the lab attended a retreat hosted by the Engineering Biology Research Consortium (EBRC) at Colorado State University and have been interested in the work of the EBRC since. We are very glad to announce the Peccoud Lab officially became involved with the consortium when Dr. [...]

Welcome Krista and Brooke

The Peccoud Lab welcomes two undergrads to our team.  Krista is an incoming freshman who will be dual majoring in Mechanical Engineering and Biomedical Engineering.  Brooke is a senior in the same majors.  Both students were the first to go through our newest method of standardized training, centered around [...]

Biohacked Insulin, Still Making Waves

Remember when computers took up entire rooms and were exclusive to big companies and the government? Now we carry them in our pockets. But what changed between the days of Space Odyssey and selfies isn’t just technology. It’s access. The software boom that defined the 90s and early 00s [...]

Informatics Demo Day Presentation

Each year Colorado State University hosts CSU Demo Day, a showcase celebrating innovation and entrepreneurship within the University. This year our lab manager and research associate, Aubrey Ibele, was one of the 106 chosen presenters for the showcase. Below is her research poster and the script of her presentation [...]

Research

  • Design and production of expression vectors
  • High throughput yeast genetics
  • Experimental validation of computational models
  • Cyberbiosecurity

Protocols

  • Molecular biology
  • DNA synthesis
  • DNA sequencing
  • Yeast genetics
  • Imaging protocols

Capabilities

  • Data management
  • Generating yeast mutants
  • High throughput phenotyping for model validation
  • Rationally design and synthesize optimized vectors
  • Build large datasets conducive to modeling via high throughput genetics

Goals

  • Experimentally validate computational models and software
  • Explore the connections between physical samples and their digital reference sequences
  • Develop fruitful collaborations with modelers and software developers
  • Leverage the similarities between computer languages and the genetic code for modular design of DNA constructs
  • Applying manufacturing practices and principles to life science workflows