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Post-Doctoral Fellows
 Panagiota (Pegy) T. Foteinou
Postdoctoral Fellow
Research
Dr. Foteinou received her Diploma in Chemical Engineering from the Aristotle University of Thessaloniki, Greece, in 2004 and after that she joined the Biomedical Engineering Department at Rutgers University, New Jersey to pursue her PhD. In May 2010 she received her PhD which was focused on the development of a multi-level model of systemic inflammation in humans supervised by Prof. Ioannis Androulakis linking for the first time cellular-level genomic responses with host-level clinical observables. Her research was in collaboration with Prof. Lowry, MD, Chair of the Surgery Department and Associate Dean at the Robert Wood Johnson Medical School - UMDNJ in New Jersey, and Prof. S. Calvano, PhD, also Professor in the Surgery Department. Hence, she was fortunate enough to work in an interdisciplinary research project and her work was heavily focused on the clinical and translational potential of systems biology. After that, Dr. Foteinou joined Prof. Doyle's group at the University of California, Santa Barbara (UCSB) as a postdoctoral fellow. Her current research interests are focused on the application of mathematical modeling in generating new insights into the bidirectional relationship between biological (peripheral) clocks and energy metabolism. She is currently developing a novel mechanistic transcriptional-enzymatic model that integrates circadian and metabolic regulatory components through epigenetic modifications. Such modeling effort aims to explain a contradiction in the metabolic/circadian clock interaction generating new hypotheses that can be tested experimentally.
Education
B.S., Chemical Engineering, Aristotle University of Thessaloniki, 2004
Ph.D., Biomedical Engineering, Rutgers University, 2010
For more information
Sriram K.
Postdoctoral Fellow, Institute for Collaborative Biotechnologies
Research
My present research interests are in:
Modeling the dynamics of HPA axis
Modeling the Progression of Prion disease.
Education
Ph.D., Chemistry, Indian Institute of Technology, Madras, 2004
 Maria Rodriguez-Fernandez
Postdoctoral Fellow in Systems Biology
Research
I received a M.Sc. in Chemical Engineering from the University of Santiago de Compostela (Spain) in 2001. Between 2002 and 2006 I pursued PhD studies at the Bio-Process Engineering Group of the IIM-CSIC, belonging to the Spanish Council for Scientific Research in Vigo, Spain. My PhD dissertation entitled Modeling and identification of bioprocesses supervised by Prof. Julio R. Banga obtained the Extraordinary Doctorate Award (top prize for doctoral dissertations in the Spanish universities). After obtaining my PhD I was appointed as a Research Associate at the Centre for Process Systems Engineering (CPSE), Department of Chemical Engineering and Chemical Technology, Imperial College London. During this period I worked together with Dr. Sergei Kucherenko, Prof. Nilay Shah, and Prof. Costas Pantelides on an EPSRC-sponsored project on Global Sensitivity Analysis (GSA). The overall aim of this project was the development of advanced techniques for GSA of large-scale models and the application of GSA for complexity reduction, time series forecasting and parameter estimation. My strong interest in the new area of systems biology took me back to the Bio-Process Engineering Group of the IIM-CSIC to work on the project SysMo-KOSMOBAC: Ion and solute homeostasis in enteric bacteria: an integrated view generated from the interface of modeling and biological experimentation aiming to understand, via molecular analysis and predictive modeling, the regulation of ionic homeostatic in bacteria and its role in regulating the integration of gene expression and metabolism. Since April 2010, I am a postdoctoral fellow at Prof. Doyle’s group at the University of California Santa Barbara (UCSB) where I am working on different projects aiming to understand by means of mathematical modeling diverse biological phenomena ranging from Heat Shock, post-traumatic stress disorder (PTSD) and circadian-dependent performance and learning.
Education
B.S., Chemical Engineering, University of Santiago de Compostela, Spain, 2001
Ph.D., Chemical Engineering, IIM-CSIC, University of Vigo, Spain, 2007
SensSB Tool Webpage
Curriculum Vitae
 Yongqiang Wang
Postdoctoral Fellow
Research
1. Systems modeling and analysis of circadian rhythm networks, reverse engineering of synchrony as an algorithmic strategy for wireless communication network control.
2. Fault detection, control and estimation for networked control systems (control systems whose control loops are closed via a serial communication channel) subject to random network-induced delay, packet dropout, limited communication resources, etc.
3. Model based detection and diagnosis of faults in engineering systems: whether they occur in the plant (the technical equipment) or in its measurements and control instruments. Data-driven fault diagnosis: identification of fault detection system parameters from the test data directly.
Education
B.S., School of Electrical Engineering, Xi'an Jiaotong University, 2004
Ph.D., Department of Automation, Tsinghua University, 2009
My Webpage
 Ruoting Yang
Postdoctoral Fellow in Systems Biology
Research
Drawing from a systems science background, my research in systems biology starts with developing statistical inference and visualization tools to identify gene/pathway/functional biomarkers, and then utilizes them to construct mathematical models that predict disease progression. Finally, I apply systems and control theory to analyze their dynamic characterics and suggest potential therapeutic targets. I am currently working towards biomarker identification and fear conditioning neurocircuits for Post-Traumatic Stress Disorder, which is a severe anxiety disorder triggered from traumatic events.
Area of interest
Systems Biology, Mathematical Modeling, Bio-inspired Control, Nanobiosystems, Robotics, Nonlinear Dynamics and Control, Game Theory, Controlled drug delivery, Complex System.
Education
B.S., Automatic Control, Xiamen University, China, 2000
M.S., Institute of Systems Science, Chinese Academy of Sciences, 2003
M.S. & Ph.D., Washington University, St. Louis, 2008
 Chunhui Zhao
Postdoctoral Fellow
Research
Currently, my research focuses on modeling and glucose prediction of type 1 diabetes by using multivariate statistical analysis method.
Education
Bachelor, Automation, Northeastern University, China, 2003
Master, Control Theory and Control Engineering, Northeastern University, China, 2006
Ph.D., Control Theory and Control Engineering, Northeastern University, China, 2009
My CV
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