Data Science Lunch: Vlad Ayzenberg

Vlad Ayzenberg is a developmental cognitive neuroscientist who is interested in understanding the mechanisms that support early developing perceptual abilities in human infants. Because measuring the underlying processes of the infant brain is incredibly challenging, Vlad uses biologically plausible computational models to explore what kinds of processes and developmental constraints may be sufficient to support infant perception. As a postdoctoral fellow with Dr. Michael Arcaro, he is starting to explore how early developing anatomical structures in the neonate visual system may scaffold perceptual abilities later in life.

During the academic year, our postdoctoral fellows meet for an informal lunch with a Penn faculty guest speaker. Each speaker then leads the group in a casual discussion regarding the use of data science in their research. Discussions vary in content, but tend to focus on the applications of machine learning and artificial intelligence in various academic disciplines.

We encourage open conversation and the exchange of ideas at each lunch, thus fostering a collaborative environment among fellows and faculty alike. As such, these lunches provide an excellent opportunity for our fellows to make interdisciplinary connections and discover new ways to utilize data science in their own research.