Postdoctoral Fellows

For 2017-18 the Institute selected four outstanding computational scientists to receive Peter O’Donnell, Jr. Postdoctoral Fellowships in Computational Engineering and Sciences. These fellows will serve as strong leaders in the research performed within the centers and groups contributing to the Institute's success.

Dr. Li Dong received his Ph.D. in Mechanical Engineering at the Rensselaer Polytechnic Institute in August 2017. He also held M.S. degrees in Applied Mathematics from the Rensselaer Polytechnic Institute and Civil Engineering from the University of Alabama at Birmingham. His research interests are PDE-constrained optimization algorithms and applications in general. His doctoral research is focused on developing efficient algorithms for soft tissue material property identification to help cancer diagnose and cell traction force microscopy to infer cell motility which is crucial in stem cell differentiation. He is currently working on uncertainty quantification of wave propagation models. His research at ICES is performed under the supervision of Professor Omar Ghattas and Professor Tan Bui-Thanh.

Dr. David Ekrut completed his Ph.D. in Biomedical Mathematics at Florida State University in May 2016. His previous work has focused predominately on finding analytical solutions to multiphase systems; however, his broader research interests are developing mathematical models to investigate immunotherapies in cancer in conjunction with quantitative imaging strategies. Currently, he is working with clinical breast cancer imaging data to assess individual versus population averages of the arterial input function for dynamic contrast enhanced magnetic resonance imaging. He is also investigating combination immunotherapy with anti-HER2 targeted therapies in preclinical models of HER2+ breast cancer. His research at ICES is performed under the guidance of Professor Thomas Yankeelov as part of the Center for Computational Oncology and the Oncological Modeling Group.

Dr. Wing Tat Leung received his Ph.D. in Mathematics at Texas A&M University in August 2017. His previous work has focused on the development of efficient multiscale solution techniques for a wide variety of problems that arise in applications. Specifically, his work focused on developing fundamental concepts for generalized multiscale finite element method and their applications in flow, transport and seismic wave simulations in heterogeneous media. Currently, he is working with developing an upscaling model for multiphase flow through porous media. His research at ICES is performed under the supervision of Professor Mary Wheeler as part of the ICES Center for Subsurface Modeling.

Dr. Liu Liu received her Ph.D in Mathematics at the University of Wisconsin-Madison in June, 2017.  Her research interests lie in numerical computation and applied analysis of physical problems. Specifically, she has conducted research in the field of multiscale modeling, uncertainty quantification for kinetic equations and quantum dynamics with random inputs, on both developing efficient numerical methods and applied analysis of PDEs.  Her work at ICES is conducted with Professor Irene M. Gamba.

Our second-year Peter O’Donnell, Jr. Postdoctoral Fellows are the following:

Dr. Carlos Borges received his Ph.D. at the Worcester Polytechnic Institute in January 2013. He was a Courant Instructor from August 2013 to September 2016 in the Courant Institute of Mathematical Sciences at New York University. His research interests are inverse and direct scattering problems. Specifically, his work focuses on developing fast and efficient algorithms for the solution of direct and inverse scattering problems with multiple frequencies. He is currently working on the development of methods for the solution of inverse scattering problems in three dimensions. His research at ICES is performed under the supervision of Professor George Biros.


Dr. Angela Jarrett completed her Ph.D. at Florida State University in the Department of Mathematics in April 2016. Her research interests focus on the application of mathematics to biological processes, specifically with medical impact. Here at ICES, she will be focused on developing mathematical formulations of the effects of various therapies on cell proliferation in tumors. Using different mathematical analyses, specifically uncertainty quantification, sensitivity analysis, and data assimilation, she aims to not only assess model structures, perform model reduction and parameter exploration but also search for biological meaning in the results to rigorously study cell proliferation in cancer models to help further develop our ability to predict the response of tumors to treatment. She is currently working under the supervision of Professor Tom Yankeelov.



Dr. Jeremy Melvin completed his Ph.D. at Stony Brook University in Computational Applied Mathematics in August 2016. His research interests are on turbulence modeling and computational fluid dynamics. His past research has focused on the development of simulation models designed to improve agreement in simulations relative to experiments of Inertial Confinement Fusion. His work has also focused on the use of front tracking for numerical simulations of hydrodynamic instabilities such as Rayleigh-Taylor and Richtmyer-Meshkov. His focus at ICES is on the use of Uncertainty Quantification in numerical simulations in a turbulent regime. His work is performed under the supervision of Professor Robert Moser.



Dr. Rana Zakerzadeh is currently a postdoctoral fellow at the Center for Cardiovascular Simulation at the University of Texas at Austin, working under the supervision of Professor Michael Sacks. Rana obtained her B.Sc. and M.Sc. degrees in Biomedical Engineering from Tehran Polytechnic, in 2009 and 2011 respectively. She then received her Ph.D. in Computational Modeling & Simulation from University of Pittsburgh in August 2016. She subsequently joined the Institute for Computational Engineering and Sciences (ICES) for her postdoctoral research. Her main areas of research are Fluid-Structure Interaction (FSI), numerical analysis and cardiovascular biomechanics.