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Ioannis Androulakis Ph.D.

Professor Rutgers University – School of EngineeringEOHSI – Exposure Science and Epidemiology
Work BME Building Room 212 599 Taylor Road Piscataway NJ 08854 Work Phone: 848-445-6561 Work Fax: 732-445-3753
Photo of Ioannis Androulakis Ph.D.

Biographical Info

Dr. Androulakis received his B.S. in Chemical Engineering from the National Technical University of Athens, Greece, and he subsequently obtained his M.S and Ph.D. from Purdue University, USA. He spent two years at Princeton University as a research associate before joining ExxonMobil’s Corporate Strategic Research Laboratories, where he eventually became the Informatics and Knowledge Capitalization technical project leader before joining the Departments of Biomedical Engineering and Chemical & Biochemical Engineering at Rutgers University. His work has been funded by the US Environmental Protection Agency, the National Science Foundation, the Office of Naval Research, and the National Institutes of Health.

Dr. Androulakis actively pursues research activities in the area of Systems Biology, loosely defined as an integrative modeling and experimental framework that approaches biological entities as “systems” in the physical and engineering sense. Of particular interest are issues related to “functional physiomics” in an attempt to establish functional links between cellular events, such as signaling, transcription and translation, and an expanding envelope of interactions which include the bidirectional links between cells, tissues, organs, environmental signals and physiological responses. The ultimate goal is to develop in silico methodologies that will enable translational research by elucidating putative mechanisms by which macroscopic responses, at the physiome level, can be functionally modulated through mechanistic interventions. Of particular importance are the opportunities of such an integrative approach applied to the inflammatory responses due to the critical role inflammation plays in a number of physiologically and clinically relevant situations. His work integrates a compendium of experimental systems, from cell cultures, to animal models, to human studies in order to address different questions at their appropriate level of detail.

For more information: http://www.ipandro.com/

Recent Publications

  1. Bae, SA, Fang, MZ, Rustgi, V, Zarbl, H, Androulakis, IP. At the Interface of Lifestyle, Behavior, and Circadian Rhythms: Metabolic Implications. Front Nutr. 2019;6 :132. doi: 10.3389/fnut.2019.00132. PubMed PMID:31555652 PubMed Central PMC6722208
  2. Rao, R, Androulakis, IP. Allostatic adaptation and personalized physiological trade-offs in the circadian regulation of the HPA axis: A mathematical modeling approach. Sci Rep. 2019;9 (1):11212. doi: 10.1038/s41598-019-47605-7. PubMed PMID:31371802 PubMed Central PMC6671996
  3. Mishra, P, Martin, DC, Androulakis, IP, Moghe, PV. Fluorescence Imaging of Actin Turnover Parses Early Stem Cell Lineage Divergence and Senescence. Sci Rep. 2019;9 (1):10377. doi: 10.1038/s41598-019-46682-y. PubMed PMID:31316098 PubMed Central PMC6637207
  4. Bae, SA, Androulakis, IP. Mathematical modeling informs the impact of changes in circadian rhythms and meal patterns on insulin secretion. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2019;317 (1):R98-R107. doi: 10.1152/ajpregu.00230.2018. PubMed PMID:31042416 PubMed Central PMC6692763
  5. Acevedo, A, Berthel, A, DuBois, D, Almon, RR, Jusko, WJ, Androulakis, IP. Pathway-Based Analysis of the Liver Response to Intravenous Methylprednisolone Administration in Rats: Acute Versus Chronic Dosing. Gene Regul Syst Bio. 2019;13 :1177625019840282. doi: 10.1177/1177625019840282. PubMed PMID:31019365 PubMed Central PMC6466473
  6. Rao, R, Androulakis, IP. The physiological significance of the circadian dynamics of the HPA axis: Interplay between circadian rhythms, allostasis and stress resilience. Horm Behav. 2019;110 :77-89. doi: 10.1016/j.yhbeh.2019.02.018. PubMed PMID:30862458
  7. Scherholz, ML, Schlesinger, N, Androulakis, IP. Chronopharmacology of glucocorticoids. Adv. Drug Deliv. Rev. 2019; :. doi: 10.1016/j.addr.2019.02.004. PubMed PMID:30797955 PubMed Central PMC6703983
  8. Krzyszczyk, P, Acevedo, A, Davidoff, EJ, Timmins, LM, Marrero-Berrios, I, Patel, M, White, C, Lowe, C, Sherba, JJ, Hartmanshenn, C et al.. The growing role of precision and personalized medicine for cancer treatment. Technology (Singap World Sci). ;6 (3-4):79-100. doi: 10.1142/S2339547818300020. PubMed PMID:30713991 PubMed Central PMC6352312
  9. Scherholz, ML, Androulakis, IP. Exploration of sexual dimorphism and inter-individual variability in multivariate parameter spaces for a pharmacokinetic compartment model. Math Biosci. 2019;308 :70-80. doi: 10.1016/j.mbs.2018.12.011. PubMed PMID:30557560
  10. Rao, RT, Scherholz, ML, Androulakis, IP. Modeling the influence of chronopharmacological administration of synthetic glucocorticoids on the hypothalamic-pituitary-adrenal axis. Chronobiol. Int. 2018;35 (12):1619-1636. doi: 10.1080/07420528.2018.1498098. PubMed PMID:30059634 PubMed Central PMC6292202
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Categories: Faculty, Exposure Science and Epidemiology
Updated 12 months ago.
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