Daniel Zielinski

Project Scientist

My research involves developing computational approaches to studying biochemical networks. Applications of interest include:

  • elucidating the dynamic structure of metabolic networks
  • the functional interpretation of the metabolome
  • impact of thermodynamics in biochemical network evolution
  • computational metabolic engineering
  • improved incorporation of fluxomic data into constraint-based models
  • understanding objective functions and constraints relevant to modeling mammalian and multi-cellular metabolism

Education

2015, Ph.D. Bioengineering, University of California - San Diego, La Jolla, California

2008, B.S. Biomedical Engineering, University of Virginia, Charlottesville, Virginia

Select publications:

Zielinski, D.C. et. al., Systems biology analysis of drivers underlying hallmarks of cancer cell metabolism., Scientific Reports 25;7:41241. (2017).

Zielinski, D.C. et. al., Pharmacogenomic and clinical data link non-pharmacokinetic metabolic dysregulation to drug side effect pathogenesis., Nature Communications 9;6:7101. (2015).

Google Scholar for full list of publications.

Contact Information

Email Address: dczielin@ucsd.edu

Mailing Address: 9500 Gilman Drive Mail Code 0412 La Jolla, CA 92093-0412

Location

Location

417 Powell-Focht Bioengineering Hall

9500 Gilman Drive La Jolla, CA 92093-0412

Contact Us

Contact Us

In Silico Lab:  858-822-1144

Wet Lab:  858-246-1625

FAX:   858-822-3120

Website Concerns: sbrgit@ucsd.edu

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