The Biotechnology Program's Short Courses

DNA puzzle

Short Courses in Biotechnology

The Biotechnology Program has historically offered one-week, immersive short courses on emerging and platform technologies, such as Bioinformatics, Flow Cytometry, Multivariate Data Analysis, Proteomics, and most recently, Cultivated Meat.  Courses take place on the UC Davis campus or via Zoom and are led by experts in specific life science and engineering technologies.  Participants include students, faculty and researchers from both academia and industry.  Industry partners often played a key role in sponsoring summer course components, including guest lectures and leading laboratory sessions.  In addition to serving the research community, we periodically offer "train-the-trainer" courses in genomics and bioinformatics for high school instructors and community college faculty.

Summer 2022 

Cultivated Meat 101

Building on the research that has occurred since the inaugural offering in fall 2021, this course will be taught via Zoom from Sept 13 - 16, 2022 (9:00am - 12:15pm PST), in conjunction with the UC Davis Cultivated Meat Consortium. The 4-day virtual course will include:

  • Cultivated Meat Research Challenges
  • Structure and Physiology of Meat
  • Cell Lines and Media Development
  • Product Development and Regulatory Considerations
  • Nutrition, Quality and Consumer Preferences
  • Technoeconomic Analyses

Participants are invited to join the UC Davis Cultivated Meat and Alternative Proteins Summit on Sept 12th (virtual and in-person participation available) and the in-person networking mixer on the evening of Wednesday, September 14th (registration information will be shared with course participants). A final course schedule will be shared with participants prior to the start of the course.



Fall 2022

​Network Mapping 101

This intensive Zoom course will be taught by Dr. Dmitry Grapov (Creative Data Solutions) on October 24-25, 2022. The course will include instruction on:

  • Multivariate exploratory analysis and visualization - identifying and/or reviewing data analysis plans
  • Creation, validation and visualization of classification and regression machine learning predictive models
  • Calculation of biochemical, structural similarity and/or empirical networks
  • Use of network mapping to integrate data analysis results and create publication-quality network visualizations

This course is targeted at beginner and intermediate practitioners of applied data analysis. A combination of lectures and demonstrations will be used to prepare students for hands-on labs allowing self-guided exploration of covered topics. Hands-on labs will use user interface, API and code-based tools. This course will be taught virtually and instructions will be provided how to access all content and tools.



Short Course Development and Administration

If interested in any of the above course registration processes or logistics, please contact program manager, Jacki Balderama (  If interested in collaborating on the development of a new summer course, please contact the program director, Dr. Denneal Jamison-McClung ( 

Jacki and Jacqueline
Jacki Balderama and Jacqueline Phillips staff the registration table at the 2015 Flow Cytometry Course.