Skip to content

Members-Only
Become a Member
About
Our Members
SPA
Resources
Publications
Events
Contact
Log In

Search for:

Home

Roadmapping
Security
Policy
Education
Members

Mary Dunlop

control theory, stochastic gene expression, gene regulatory networks, feedback

Search for:

Pages
Archives
Categories
- Activities (7)
- Curriculum Modules (2)
- Events (120)
  - Archived Events (102)
  - Community Events (1)
  - EBRC Events (3)
  - Home Featured Events (1)
- Forms (13)
  - Forms-Membership (3)
  - Forms-Suggestion Box (9)
- Internship Institutions (5)
- News (52)
  - Education News (12)
  - Home Featured News (5)
  - Industry News (1)
  - Member News (6)
  - Members-Only News (4)
  - Policy News (4)
  - Roadmapping News (12)
  - Security News (4)
  - SPA News (3)
- Profiles (737)
  - Applicants (29)
  - Applicants, SPA (355)
  - Council (53)
  - Education WG (14)
  - EMUMS Board (6)
  - EMUMS Mentor (13)
  - Individual Members (173)
  - Institutional Members (50)
  - Member Directory (200)
  - MemCom, Individual (6)
  - MemCom, Institutional (5)
  - Mentors (23)
  - Policy WG (27)
  - Roadmap WG (34)
    - Materials WG (1)
    - Microbiomes WG (1)
  - Security WG (23)
  - SPA Board (18)
  - Staff (6)
  - Steering Committee (10)
  - Women in EB (64)
- Programs (1)
- Publications (35)
- Resources (40)
  - Education & Outreach Activities (15)
  - Job Board (7)
    - EBRC Positions (1)
  - Media Resources (6)
  - Member Resources (1)
  - SPA Resume (3)
  - Teaching Materials (4)
- Slideshow (4)
  - Home Slideshow (4)
- Uncategorized (21)
- Z'Working Group Content (4)
  - Roadmapping (2)
    - Application & Impact Sectors (1)
    - Technical Themes (1)
  - Security (2)

Back to top ⇑

5885 Hollis Street, 4th Floor, Emeryville, CA 94608
Phone: +1.510.871.3272 Fax: +1.510.245.2223
Contact Us →

Subscribe: Mailing List

Name
Email
Phone
This field is for validation purposes and should be left unchanged.

twitter linkedin

© Engineering Biology Research Consortium. Your visit to this website and any actions (such as downloads) may be collected by EBRC for analytics purposes and reported in aggregate; no personal information is collected and individual data will never be shared.