Ali Navid
Computational Scientist at ATOM | Accelerating Therapeutics for Opportunities in Medicine- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
Topline Score
Bio
Experience
-
ATOM Accelerating Therapeutics for Opportunities in Medicine
-
United States
-
Biotechnology Research
-
1 - 100 Employee
-
Computational Scientist
-
Oct 2017 - Present
San Francisco Bay Area
-
-
-
Lawrence Livermore National Laboratory
-
United States
-
Research Services
-
700 & Above Employee
-
Biomedical Scientist
-
Jul 2009 - Present
I’m a computational systems biologist involved in analyses of complex biological networks at different levels of detail. My primary area of interest is in systems biology of microbial communities, multi-cellular organisms and host-pathogen interactions. Systems biology is the study of interactions between assorted components of biological systems with the aim of acquiring new insights into how organisms function and respond to different stimuli. Although more and more efforts are being… Show more I’m a computational systems biologist involved in analyses of complex biological networks at different levels of detail. My primary area of interest is in systems biology of microbial communities, multi-cellular organisms and host-pathogen interactions. Systems biology is the study of interactions between assorted components of biological systems with the aim of acquiring new insights into how organisms function and respond to different stimuli. Although more and more efforts are being directed toward examining systems biology in complex multi-cellular organisms, the bulk of system-level analyses conducted to date have focused on the biology of microbes. My microbial systems biology interests are multifaceted. I am interested in using dynamic and steady state models to examine the workings of deadly pathogens such as Trypanosoma brucei, Yersinia pestis and Francisella tularensis. I also work with microbiologists in assessing the phenotypic capabilities of biofuel producing organisms (such as Rhodopseudomonas palustris) and designing new strains for improved production of desired compounds. I am also interested in systems pharmacology. I develop and use physiology-based pharmacokinetic and pharmacodynamic models to predict the transient outcome of drug metabolism and therapeutic or toxic events.
-
-
Post doctoral research scientist
-
Jul 2006 - Jul 2009
Working under supervision of Dr. Eivind Almaas, I developed genome-scale constraint-based models of metabolism in three biovars of bubonic plague pathogen, Yersinia pestis, as well as its progenitor, Yersinia pseudotuberculosis. I also developed a new theoretical technique for identifying candidate cryptic/pseudo genes using in silico models of metabolism.
-
-
-
-
Member
-
Jun 2015 - Feb 2021
Sacramento, California
-
-
-
Indiana University Bloomington
-
United States
-
Higher Education
-
700 & Above Employee
-
Honorary researcher/facutly
-
Apr 2004 - Nov 2015
-
-
-
The Smith-Kettlewell Eye Research Institute
-
United States
-
Research Services
-
1 - 100 Employee
-
Post doctoral Fellow
-
Apr 2004 - May 2006
San Francisco Bay Area I worked under supervision of Dr. Russell Hamer and developed a detailed computational model of rhodopsin regeneration in human rod photoreceptors.
-
-
-
Indiana University Bloomington
-
United States
-
Higher Education
-
700 & Above Employee
-
Graduate student
-
1998 - 2004
Working under supervision of Prof. Peter Ortoleva, I developed fully kinetic computational models of metabolic pathways (Glycolysis, TCA cycle, Pentose phosphate pathway, de novo nucleotide biosynthesis, essential amino acid biosynthesis) for single and multi-organism eukaryotic cells using a new genomic, proteomic, metabolic cell simulator, Karyote. I also designed a new biochemical database and gained extensive experience programming in C++, fortran, perl and mining available chemical and… Show more Working under supervision of Prof. Peter Ortoleva, I developed fully kinetic computational models of metabolic pathways (Glycolysis, TCA cycle, Pentose phosphate pathway, de novo nucleotide biosynthesis, essential amino acid biosynthesis) for single and multi-organism eukaryotic cells using a new genomic, proteomic, metabolic cell simulator, Karyote. I also designed a new biochemical database and gained extensive experience programming in C++, fortran, perl and mining available chemical and biological databases. Show less
-
-
Education
-
Indiana University Bloomington
Ph.D., Biophysical Chemistry -
University of North Dakota
M.S., Physical Chemistry -
University of Maryland
B.S., Chemistry