Current Postdoctoral Fellows

Amir Asiaee T.
Amir Asiaee T.
JE379 614-688-3443

Amir applies tools from machine learning and high-dimensional statistics to problems arise in cancer (more...)

Amir applies tools from machine learning and high-dimensional statistics to problems arise in cancer diagnosis, prognosis, and treatment. He is interested in all aspects of data science applied to cancer biology and personalized medicine. His recent focus is the interaction of microRNA and long non-coding RNA and its implication on Acute Myeloid Leukemia.

Veronica Ciocanel
Veronica Ciocanel
JE380 614-688-3334

Veronica is interested in understanding spatial differentiation in early development of organisms. Her (more...)

Veronica is interested in understanding spatial differentiation in early development of organisms. Her research has focused on modeling the dynamics and mechanisms of localization of mRNA molecules in egg cells, using tools such as partial differential equations, dynamical systems, stochastic processes and numerical methods. Currently, she is interested in studying how motor proteins regulate the transport and spread of molecules in cells, and how motor impairment may lead to abnormal distributions.

Punit Gandhi
Punit Gandhi
JE374 614-688-3292

Punit is interested in the emergence of spatial patterns in biological and ecological systems.   His (more...)

Punit is interested in the emergence of spatial patterns in biological and ecological systems.   His work makes use of tools from dynamical systems and bifurcation theory to develop and analyze mathematical models of the pattern forming process. One recent focus has been on vegetation patterns in semi-arid regions that are thought to arise through self-organization at a community level in response to limited resources.

Wasiur KhudaBukhsh
Wasiur KhudaBukhsh
JE379 614-688-3443

Wasiur is broadly interested in applications of probability theory, statistical inference and survival (more...)

Wasiur is broadly interested in applications of probability theory, statistical inference and survival analysis to problems in epidemiology, biology and other branches of science. In particular, he is interested in questions of asymptotic nature, e.g., large graph limits of epidemic processes on random graphs, scaling limits of chemical reaction networks etc. Starting from a rigorous foundation, his goal is to design better inference algorithms for biological and epidemiological data, and to help design better public health interventions.

Colin Klaus
Colin Klaus
JE381 614-688-3493

Colin's research has focused on spatio-temporal, finite element models of protein diffusion in cell (more...)

Colin's research has focused on spatio-temporal, finite element models of protein diffusion in cell membranes and a multi-scale finite element model of visual transduction in rod and cone photoreceptor cells.  This model couples vision's G-protein mediated activation cascade with the resultant 2nd messenger diffusion by cGMP and Ca2+. This diffusion is responsible for the resultant changes in photoreceptor membrane current.   Broadly, Colin is interested in Signal Transduction Paradigms, Parabolic PDE's, Finite Element methods, and techniques of Homogenization and Concentrated Capacity. 

Omar Saucedo
Omar Saucedo
JE378 614-292-6159

Omar's research focuses on modelling the dynamics of infectious diseases.  In particular, his (more...)

Omar's research focuses on modelling the dynamics of infectious diseases.  In particular, his work includes studying the competition between low and high pathogenicity of avian influenza in poultry farms and estimating the basic reproduction number of human to human avian influenza through transmission chains and differential equations.  As a member of the IGERT Program, he was also involved in a project that modelled the effect of latitudinal variations on reproductive strategies for shrimp in the Gulf of Mexico.

Anastasios Stefanou
Anastasios Stefanou
JE377 614-688-3198

Anastasios employs methods from algebraic topology and category theory for modeling biological systems, (more...)

Anastasios employs methods from algebraic topology and category theory for modeling biological systems, such as evolutionary phylogenetic networks, their associated comparative methods and broadly developing mathematical methods for network data analysis.

Celeste Vallejo
Celeste Vallejo
JE379 614-688-3443

The theme of Celeste’s research is implementing stochastic simulation models to answer  (more...)

The theme of Celeste’s research is implementing stochastic simulation models to answer  epidemiological questions. She has applied this technique to investigate the silent circulation of poliovirus in small populations using both a stochastic compartmental model and an event-driven individual-based model. As a co-sponsored post-doc with Battelle, she is part of a team that is developing a model that will be used to improve patient outcomes in a hospital setting.

Alexandria Volkening
Alexandria Volkening
JE381 614-688-3493

The broad theme of Alexandria’s research is application-driven work in dynamical systems, and she is (more...)

The broad theme of Alexandria’s research is application-driven work in dynamical systems, and she is particularly interested in collective dynamics and patterns that emerge from interacting agents in biological or social applications. Her main research focus has been on developing agent-based models of pattern formation on zebrafish, with the goal of helping to identify altered cell interactions associated with mutated patterns. 

Yangyang Wang
Yangyang Wang
JE374 614-688-3292

Yangyang's research is mainly about understanding the genesis of complex patterns and rhythms (more...)

Yangyang's research is mainly about understanding the genesis of complex patterns and rhythms involving multiple time scales in the neuronal systems, using tools from dynamical systems including geometric singular perturbation theory (GSPT) and bifurcation analysis, ordinary differential equations and numerical simulations.