Shanshan Qin

Shanshan Qin

Postdoctoral Fellow in Computational and Theoretical Neuroscience

Harvard University

Biography

I am a postdoctoral fellow in Pehlevan group at the Harvard John A. Paulson School Of Engineering And Applied Sciences. I am interested in the information processing and organizing principles in the nervous system and the learning algorithms that the brain might use. I received a B.S. degree in Physics in 2012 from Central China Normal University at Wuhan. I then moved to the Center for Quantitative Biology at Peking University for my PhD study, where I explored various problems at the interface between physics and biology. I did my thesis work with Prof. Tang Chao and Prof. Yuhai Tu and obtained my doctorate at 2019. I also enjoy badminton, swimming, hiking, cooking and Chinese Calligraphy.

Interests

  • Computationl Neuroscince
  • Quantiative and Systems Biology

Education

  • PhD in Condensed Matter Physics, 2019

    Peking University, Bejing, China

  • BSc in physics, 2012

    Central China Normal University, Wuhan, China

Experience

 
 
 
 
 

Postdoctoral researcher

Harvard University

Aug 2019 – Present Cambridge, MA

Research interests:

  • Neural information processing
  • Biologically plausible learning algoirthm
  • Neural computation in olfactory systems
  • Quantitative biology
 
 
 
 
 

Visiting student

University of California, Berkeley

Jun 2016 – Sep 2016 Berkeley, CA
Designed and performed experimental study on the temperature-dependent speed of embryoge- nesis in Drosophila Melanogaster
 
 
 
 
 

Ph.D Student

Peking University

Sep 2012 – Jul 2019 Bejing, China
Explored various projects in the interface between physics and biology. Learned interdisciplinary approached to understand complex biological systems: cell fate transitions, grogrammed cell death, and information processing in neural systems

Recent Publications

Contrastive similarity matching for supervised learning

Effects of short-term plasticity in early olfactory information processing in Drosophila

Internal state configures olfactory behavior and early sensory processing in Drosophila larvae

A systematic study of the determinants of protein abundance memory in cell lineage

Recent Posts

Projects

Accomplish­ments

Distinction in Teaching

Been recognized for excellence in teaching during the Fall semester of 2020 in the course Neural Computation.

Recent & Upcoming Talks

Skills

MATLAB

100%

Python

30%

R

30%

C/C++

10%

LaTex

100%

Popular Topics

Contact

  • 29 Oxford Street, Cambridge, MA 02138