Neural networks, Neuroscience and Dynamical Systems

Hi, I am Ankita, working on bridging the gap between neuroscience and neural networks to solve dynamical system problems. The world of neural networks is ever evolving, and so are the associated bottlenecks. To understand how we can better train them, we can trace back to our learnings of the human brain itself! As dynamical systems of the world evolve through space and time our logical circuits and simulations must evolve in an equivalent manner to adhere to aperiodicity, noise and underlying scientific reasoning. I am currently working on similar problems at Oak Ridge National Lab in Computing and Computational Sciences Directorate. Formerly I was an IDSO Postdoctoral Scientist at MD Anderson Cancer Center, working in the Department of BCB where I led projects on understanding tumor microenvironment dynamics with neural networks in a pan cancer study and glioblastoma specific cohorts. I obtained my Ph.D. in Electrical Engineering jointly from the Drexel Wireless Systems Lab and Distributed and Scalable Computing Lab. During my doctoral studies I have worked and contributed to research and development teams at Samsung Advanced Institute of Technology in San Jose, CA and US Department of VA in Miami, FL.