I am a theoretical physicist engaged in the study of living and active matter. Such systems exhibit various emergent dynamics necessary for system regulation, growth, and motility. However, how robust dynamics arises from stochastic components remains unclear. Towards understanding this, I develop topological theories that support robust edge states in novel and accessible platforms, from quantum to biological systems. Other interests include learning and optimal navigation, as well as information in fluids.

Last semester (Summer 2020), I lectured in the Active Matter course at the University of Göttingen. There are currently two students in my group. For ongoing projects, see my research group page on the le
ft. Broadly speaking, my work provides insight into the emergence of robust function as well as a blueprint for the design of novel behavior in correlated and active systems.

Previously, I was an Africk Postdoctoral Fellow at the University of Pennsylvania, focusing on cognition and brain networks in the group of Dani Bassett.
In 2015, I received my PhD in physics from the Massachusetts Institute of Technology, where I worked with Xiao-Gang Wen on novel topological states in quantum electronic systems. I hold an MPhil from the University of Cambridge and a BS from Yale University. I am a recipient of the Simons-Berkeley Research Fellowship, the Africk Family Postdoctoral Fellowship, and the Gates Cambridge scholarship.

Formal talks

Topology protects chiral edge currents in stochastic systems (January 2021)

Colloquium, Harvard Center of Mathematical Sciences and Applications

Topology protects chiral edge currents in stochastic systems (January 2021)

Casual conversations

My journey to physics and my research (March 2021)

Chilloquium, Harvard Society of Physics Students

My journey to physics and my research (March 2021)

Previous work (newer work is on my research page; link on left)

E. Tang, M.G. Mattar, C. Giusti, S.L. Thompson-Schill and D.S. Bassett
Effective learning is accompanied by high dimensional and efficient representations of neural activity
Nature Neuroscience (2019)
E. Tang and D.S. Bassett
Colloquium: Control of dynamics in brain networks
Reviews of Modern Physics (2018)
E. Tang, C. Giusti, G. Baum, S. Gu, E. Pollock, A.E. Kahn, D. Roalf, T.M. Moore, K. Ruparel, R.C. Gur, R.E. Gur, T.D. Satterthwaite, and D.S. Bassett
Developmental increases in white matter network controllability support a growing diversity of brain dynamics
Nature Communications (2017)
E. Tang and L. Fu
Strain-induced partially flat band, helical snake states and interface superconductivity in topological crystalline insulators
Nature Physics (2014)
E. Tang and X.-G. Wen
Interaction effects on 1D fermionic symmetry protected topological phases
Physical Review Letters (2012)
E. Tang, J.-W. Mei and X.-G. Wen
High temperature fractional quantum Hall states
Physical Review Letters (2011)

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